Serialized Form (AWS Java SDK for Amazon Rekognition 1.11.996 API)

Package com.amazonaws.services.rekognition.model
- Class com.amazonaws.services.rekognition.model.AccessDeniedException extends AmazonRekognitionException implements Serializable
  
  serialVersionUID:
  
  1L
- Class com.amazonaws.services.rekognition.model.AgeRange extends Object implements Serializable
  - Serialized Fields
    - low
```
Integer low
```
      The lowest estimated age.
    - high
```
Integer high
```
      The highest estimated age.
- Class com.amazonaws.services.rekognition.model.AmazonRekognitionException extends AmazonServiceException implements Serializable
  
  serialVersionUID:
  
  1L
- Class com.amazonaws.services.rekognition.model.Asset extends Object implements Serializable
  - Serialized Fields
    - groundTruthManifest
```
GroundTruthManifest groundTruthManifest
```
- Class com.amazonaws.services.rekognition.model.AudioMetadata extends Object implements Serializable
  - Serialized Fields
    - codec
```
String codec
```
      The audio codec used to encode or decode the audio stream.
    - durationMillis
```
Long durationMillis
```
      The duration of the audio stream in milliseconds.
    - sampleRate
```
Long sampleRate
```
      The sample rate for the audio stream.
    - numberOfChannels
```
Long numberOfChannels
```
      The number of audio channels in the segment.
- Class com.amazonaws.services.rekognition.model.Beard extends Object implements Serializable
  - Serialized Fields
    - value
```
Boolean value
```
      Boolean value that indicates whether the face has beard or not.
    - confidence
```
Float confidence
```
      Level of confidence in the determination.
- Class com.amazonaws.services.rekognition.model.BoundingBox extends Object implements Serializable
  - Serialized Fields
    - width
```
Float width
```
      Width of the bounding box as a ratio of the overall image width.
    - height
```
Float height
```
      Height of the bounding box as a ratio of the overall image height.
    - left
```
Float left
```
      Left coordinate of the bounding box as a ratio of overall image width.
    - top
```
Float top
```
      Top coordinate of the bounding box as a ratio of overall image height.
- Class com.amazonaws.services.rekognition.model.Celebrity extends Object implements Serializable
  - Serialized Fields
    - urls
```
List<E> urls
```
      An array of URLs pointing to additional information about the celebrity. If there is no additional information about the celebrity, this list is empty.
    - name
```
String name
```
      The name of the celebrity.
    - id
```
String id
```
      A unique identifier for the celebrity.
    - face
```
ComparedFace face
```
      Provides information about the celebrity's face, such as its location on the image.
    - matchConfidence
```
Float matchConfidence
```
      The confidence, in percentage, that Amazon Rekognition has that the recognized face is the celebrity.
- Class com.amazonaws.services.rekognition.model.CelebrityDetail extends Object implements Serializable
  - Serialized Fields
    - urls
```
List<E> urls
```
      An array of URLs pointing to additional celebrity information.
    - name
```
String name
```
      The name of the celebrity.
    - id
```
String id
```
      The unique identifier for the celebrity.
    - confidence
```
Float confidence
```
      The confidence, in percentage, that Amazon Rekognition has that the recognized face is the celebrity.
    - boundingBox
```
BoundingBox boundingBox
```
      Bounding box around the body of a celebrity.
    - face
```
FaceDetail face
```
      Face details for the recognized celebrity.
- Class com.amazonaws.services.rekognition.model.CelebrityRecognition extends Object implements Serializable
  - Serialized Fields
    - timestamp
```
Long timestamp
```
      The time, in milliseconds from the start of the video, that the celebrity was recognized.
    - celebrity
```
CelebrityDetail celebrity
```
      Information about a recognized celebrity.
- Class com.amazonaws.services.rekognition.model.ComparedFace extends Object implements Serializable
  - Serialized Fields
    - boundingBox
```
BoundingBox boundingBox
```
      Bounding box of the face.
    - confidence
```
Float confidence
```
      Level of confidence that what the bounding box contains is a face.
    - landmarks
```
List<E> landmarks
```
      An array of facial landmarks.
    - pose
```
Pose pose
```
      Indicates the pose of the face as determined by its pitch, roll, and yaw.
    - quality
```
ImageQuality quality
```
      Identifies face image brightness and sharpness.
- Class com.amazonaws.services.rekognition.model.ComparedSourceImageFace extends Object implements Serializable
  - Serialized Fields
    - boundingBox
```
BoundingBox boundingBox
```
      Bounding box of the face.
    - confidence
```
Float confidence
```
      Confidence level that the selected bounding box contains a face.
- Class com.amazonaws.services.rekognition.model.CompareFacesMatch extends Object implements Serializable
  - Serialized Fields
    - similarity
```
Float similarity
```
      Level of confidence that the faces match.
    - face
```
ComparedFace face
```
      Provides face metadata (bounding box and confidence that the bounding box actually contains a face).
- Class com.amazonaws.services.rekognition.model.CompareFacesRequest extends AmazonWebServiceRequest implements Serializable
  - Serialized Fields
    - sourceImage
```
Image sourceImage
```
      The input image as base64-encoded bytes or an S3 object. If you use the AWS CLI to call Amazon Rekognition operations, passing base64-encoded image bytes is not supported.
      
      If you are using an AWS SDK to call Amazon Rekognition, you might not need to base64-encode image bytes passed using the Bytes field. For more information, see Images in the Amazon Rekognition developer guide.
    - targetImage
```
Image targetImage
```
      The target image as base64-encoded bytes or an S3 object. If you use the AWS CLI to call Amazon Rekognition operations, passing base64-encoded image bytes is not supported.
      
      If you are using an AWS SDK to call Amazon Rekognition, you might not need to base64-encode image bytes passed using the Bytes field. For more information, see Images in the Amazon Rekognition developer guide.
    - similarityThreshold
```
Float similarityThreshold
```
      The minimum level of confidence in the face matches that a match must meet to be included in the FaceMatches array.
    - qualityFilter
```
String qualityFilter
```
      A filter that specifies a quality bar for how much filtering is done to identify faces. Filtered faces aren't compared. If you specify AUTO, Amazon Rekognition chooses the quality bar. If you specify LOW, MEDIUM, or HIGH, filtering removes all faces that don’t meet the chosen quality bar. The quality bar is based on a variety of common use cases. Low-quality detections can occur for a number of reasons. Some examples are an object that's misidentified as a face, a face that's too blurry, or a face with a pose that's too extreme to use. If you specify NONE, no filtering is performed. The default value is NONE.
      
      To use quality filtering, the collection you are using must be associated with version 3 of the face model or higher.
- Class com.amazonaws.services.rekognition.model.CompareFacesResult extends AmazonWebServiceResult<ResponseMetadata> implements Serializable
  - Serialized Fields
    - sourceImageFace
```
ComparedSourceImageFace sourceImageFace
```
      The face in the source image that was used for comparison.
    - faceMatches
```
List<E> faceMatches
```
      An array of faces in the target image that match the source image face. Each CompareFacesMatch object provides the bounding box, the confidence level that the bounding box contains a face, and the similarity score for the face in the bounding box and the face in the source image.
    - unmatchedFaces
```
List<E> unmatchedFaces
```
      An array of faces in the target image that did not match the source image face.
    - sourceImageOrientationCorrection
```
String sourceImageOrientationCorrection
```
      The value of SourceImageOrientationCorrection is always null.
      
      If the input image is in .jpeg format, it might contain exchangeable image file format (Exif) metadata that includes the image's orientation. Amazon Rekognition uses this orientation information to perform image correction. The bounding box coordinates are translated to represent object locations after the orientation information in the Exif metadata is used to correct the image orientation. Images in .png format don't contain Exif metadata.
      
      Amazon Rekognition doesn’t perform image correction for images in .png format and .jpeg images without orientation information in the image Exif metadata. The bounding box coordinates aren't translated and represent the object locations before the image is rotated.
    - targetImageOrientationCorrection
```
String targetImageOrientationCorrection
```
      The value of TargetImageOrientationCorrection is always null.
      
      If the input image is in .jpeg format, it might contain exchangeable image file format (Exif) metadata that includes the image's orientation. Amazon Rekognition uses this orientation information to perform image correction. The bounding box coordinates are translated to represent object locations after the orientation information in the Exif metadata is used to correct the image orientation. Images in .png format don't contain Exif metadata.
      
      Amazon Rekognition doesn’t perform image correction for images in .png format and .jpeg images without orientation information in the image Exif metadata. The bounding box coordinates aren't translated and represent the object locations before the image is rotated.
- Class com.amazonaws.services.rekognition.model.ContentModerationDetection extends Object implements Serializable
  - Serialized Fields
    - timestamp
```
Long timestamp
```
      Time, in milliseconds from the beginning of the video, that the unsafe content label was detected.
    - moderationLabel
```
ModerationLabel moderationLabel
```
      The unsafe content label detected by in the stored video.
- Class com.amazonaws.services.rekognition.model.CoversBodyPart extends Object implements Serializable
  - Serialized Fields
    - confidence
```
Float confidence
```
      The confidence that Amazon Rekognition has in the value of Value.
    - value
```
Boolean value
```
      True if the PPE covers the corresponding body part, otherwise false.
- Class com.amazonaws.services.rekognition.model.CreateCollectionRequest extends AmazonWebServiceRequest implements Serializable
  - Serialized Fields
    - collectionId
```
String collectionId
```
      ID for the collection that you are creating.
    - tags
```
Map<K,V> tags
```
      A set of tags (key-value pairs) that you want to attach to the collection.
- Class com.amazonaws.services.rekognition.model.CreateCollectionResult extends AmazonWebServiceResult<ResponseMetadata> implements Serializable
  - Serialized Fields
    - statusCode
```
Integer statusCode
```
      HTTP status code indicating the result of the operation.
    - collectionArn
```
String collectionArn
```
      Amazon Resource Name (ARN) of the collection. You can use this to manage permissions on your resources.
    - faceModelVersion
```
String faceModelVersion
```
      Version number of the face detection model associated with the collection you are creating.
- Class com.amazonaws.services.rekognition.model.CreateProjectRequest extends AmazonWebServiceRequest implements Serializable
  - Serialized Fields
    - projectName
```
String projectName
```
      The name of the project to create.
- Class com.amazonaws.services.rekognition.model.CreateProjectResult extends AmazonWebServiceResult<ResponseMetadata> implements Serializable
  - Serialized Fields
    - projectArn
```
String projectArn
```
      The Amazon Resource Name (ARN) of the new project. You can use the ARN to configure IAM access to the project.
- Class com.amazonaws.services.rekognition.model.CreateProjectVersionRequest extends AmazonWebServiceRequest implements Serializable
  - Serialized Fields
    - projectArn
```
String projectArn
```
      The ARN of the Amazon Rekognition Custom Labels project that manages the model that you want to train.
    - versionName
```
String versionName
```
      A name for the version of the model. This value must be unique.
    - outputConfig
```
OutputConfig outputConfig
```
      The Amazon S3 location to store the results of training.
    - trainingData
```
TrainingData trainingData
```
      The dataset to use for training.
    - testingData
```
TestingData testingData
```
      The dataset to use for testing.
    - tags
```
Map<K,V> tags
```
      A set of tags (key-value pairs) that you want to attach to the model.
- Class com.amazonaws.services.rekognition.model.CreateProjectVersionResult extends AmazonWebServiceResult<ResponseMetadata> implements Serializable
  - Serialized Fields
    - projectVersionArn
```
String projectVersionArn
```
      The ARN of the model version that was created. Use DescribeProjectVersion to get the current status of the training operation.
- Class com.amazonaws.services.rekognition.model.CreateStreamProcessorRequest extends AmazonWebServiceRequest implements Serializable
  - Serialized Fields
    - input
```
StreamProcessorInput input
```
      Kinesis video stream stream that provides the source streaming video. If you are using the AWS CLI, the parameter name is StreamProcessorInput.
    - output
```
StreamProcessorOutput output
```
      Kinesis data stream stream to which Amazon Rekognition Video puts the analysis results. If you are using the AWS CLI, the parameter name is StreamProcessorOutput.
    - name
```
String name
```
      An identifier you assign to the stream processor. You can use Name to manage the stream processor. For example, you can get the current status of the stream processor by calling DescribeStreamProcessor. Name is idempotent.
    - settings
```
StreamProcessorSettings settings
```
      Face recognition input parameters to be used by the stream processor. Includes the collection to use for face recognition and the face attributes to detect.
    - roleArn
```
String roleArn
```
      ARN of the IAM role that allows access to the stream processor.
    - tags
```
Map<K,V> tags
```
      A set of tags (key-value pairs) that you want to attach to the stream processor.
- Class com.amazonaws.services.rekognition.model.CreateStreamProcessorResult extends AmazonWebServiceResult<ResponseMetadata> implements Serializable
  - Serialized Fields
    - streamProcessorArn
```
String streamProcessorArn
```
      ARN for the newly create stream processor.
- Class com.amazonaws.services.rekognition.model.CustomLabel extends Object implements Serializable
  - Serialized Fields
    - name
```
String name
```
      The name of the custom label.
    - confidence
```
Float confidence
```
      The confidence that the model has in the detection of the custom label. The range is 0-100. A higher value indicates a higher confidence.
    - geometry
```
Geometry geometry
```
      The location of the detected object on the image that corresponds to the custom label. Includes an axis aligned coarse bounding box surrounding the object and a finer grain polygon for more accurate spatial information.
- Class com.amazonaws.services.rekognition.model.DeleteCollectionRequest extends AmazonWebServiceRequest implements Serializable
  - Serialized Fields
    - collectionId
```
String collectionId
```
      ID of the collection to delete.
- Class com.amazonaws.services.rekognition.model.DeleteCollectionResult extends AmazonWebServiceResult<ResponseMetadata> implements Serializable
  - Serialized Fields
    - statusCode
```
Integer statusCode
```
      HTTP status code that indicates the result of the operation.
- Class com.amazonaws.services.rekognition.model.DeleteFacesRequest extends AmazonWebServiceRequest implements Serializable
  - Serialized Fields
    - collectionId
```
String collectionId
```
      Collection from which to remove the specific faces.
    - faceIds
```
List<E> faceIds
```
      An array of face IDs to delete.
- Class com.amazonaws.services.rekognition.model.DeleteFacesResult extends AmazonWebServiceResult<ResponseMetadata> implements Serializable
  - Serialized Fields
    - deletedFaces
```
List<E> deletedFaces
```
      An array of strings (face IDs) of the faces that were deleted.
- Class com.amazonaws.services.rekognition.model.DeleteProjectRequest extends AmazonWebServiceRequest implements Serializable
  - Serialized Fields
    - projectArn
```
String projectArn
```
      The Amazon Resource Name (ARN) of the project that you want to delete.
- Class com.amazonaws.services.rekognition.model.DeleteProjectResult extends AmazonWebServiceResult<ResponseMetadata> implements Serializable
  - Serialized Fields
    - status
```
String status
```
      The current status of the delete project operation.
- Class com.amazonaws.services.rekognition.model.DeleteProjectVersionRequest extends AmazonWebServiceRequest implements Serializable
  - Serialized Fields
    - projectVersionArn
```
String projectVersionArn
```
      The Amazon Resource Name (ARN) of the model version that you want to delete.
- Class com.amazonaws.services.rekognition.model.DeleteProjectVersionResult extends AmazonWebServiceResult<ResponseMetadata> implements Serializable
  - Serialized Fields
    - status
```
String status
```
      The status of the deletion operation.
- Class com.amazonaws.services.rekognition.model.DeleteStreamProcessorRequest extends AmazonWebServiceRequest implements Serializable
  - Serialized Fields
    - name
```
String name
```
      The name of the stream processor you want to delete.
- Class com.amazonaws.services.rekognition.model.DeleteStreamProcessorResult extends AmazonWebServiceResult<ResponseMetadata> implements Serializable
- Class com.amazonaws.services.rekognition.model.DescribeCollectionRequest extends AmazonWebServiceRequest implements Serializable
  - Serialized Fields
    - collectionId
```
String collectionId
```
      The ID of the collection to describe.
- Class com.amazonaws.services.rekognition.model.DescribeCollectionResult extends AmazonWebServiceResult<ResponseMetadata> implements Serializable
  - Serialized Fields
    - faceCount
```
Long faceCount
```
      The number of faces that are indexed into the collection. To index faces into a collection, use IndexFaces.
    - faceModelVersion
```
String faceModelVersion
```
      The version of the face model that's used by the collection for face detection.
      
      For more information, see Model Versioning in the Amazon Rekognition Developer Guide.
    - collectionARN
```
String collectionARN
```
      The Amazon Resource Name (ARN) of the collection.
    - creationTimestamp
```
Date creationTimestamp
```
      The number of milliseconds since the Unix epoch time until the creation of the collection. The Unix epoch time is 00:00:00 Coordinated Universal Time (UTC), Thursday, 1 January 1970.
- Class com.amazonaws.services.rekognition.model.DescribeProjectsRequest extends AmazonWebServiceRequest implements Serializable
  - Serialized Fields
    - nextToken
```
String nextToken
```
      If the previous response was incomplete (because there is more results to retrieve), Amazon Rekognition Custom Labels returns a pagination token in the response. You can use this pagination token to retrieve the next set of results.
    - maxResults
```
Integer maxResults
```
      The maximum number of results to return per paginated call. The largest value you can specify is 100. If you specify a value greater than 100, a ValidationException error occurs. The default value is 100.
- Class com.amazonaws.services.rekognition.model.DescribeProjectsResult extends AmazonWebServiceResult<ResponseMetadata> implements Serializable
  - Serialized Fields
    - projectDescriptions
```
List<E> projectDescriptions
```
      A list of project descriptions. The list is sorted by the date and time the projects are created.
    - nextToken
```
String nextToken
```
      If the previous response was incomplete (because there is more results to retrieve), Amazon Rekognition Custom Labels returns a pagination token in the response. You can use this pagination token to retrieve the next set of results.
- Class com.amazonaws.services.rekognition.model.DescribeProjectVersionsRequest extends AmazonWebServiceRequest implements Serializable
  - Serialized Fields
    - projectArn
```
String projectArn
```
      The Amazon Resource Name (ARN) of the project that contains the models you want to describe.
    - versionNames
```
List<E> versionNames
```
      A list of model version names that you want to describe. You can add up to 10 model version names to the list. If you don't specify a value, all model descriptions are returned. A version name is part of a model (ProjectVersion) ARN. For example, my-model.2020-01-21T09.10.15 is the version name in the following ARN. arn:aws:rekognition:us-east-1:123456789012:project/getting-started/version/my-model.2020-01-21T09.10.15/1234567890123 .
    - nextToken
```
String nextToken
```
      If the previous response was incomplete (because there is more results to retrieve), Amazon Rekognition Custom Labels returns a pagination token in the response. You can use this pagination token to retrieve the next set of results.
    - maxResults
```
Integer maxResults
```
      The maximum number of results to return per paginated call. The largest value you can specify is 100. If you specify a value greater than 100, a ValidationException error occurs. The default value is 100.
- Class com.amazonaws.services.rekognition.model.DescribeProjectVersionsResult extends AmazonWebServiceResult<ResponseMetadata> implements Serializable
  - Serialized Fields
    - projectVersionDescriptions
```
List<E> projectVersionDescriptions
```
      A list of model descriptions. The list is sorted by the creation date and time of the model versions, latest to earliest.
    - nextToken
```
String nextToken
```
      If the previous response was incomplete (because there is more results to retrieve), Amazon Rekognition Custom Labels returns a pagination token in the response. You can use this pagination token to retrieve the next set of results.
- Class com.amazonaws.services.rekognition.model.DescribeStreamProcessorRequest extends AmazonWebServiceRequest implements Serializable
  - Serialized Fields
    - name
```
String name
```
      Name of the stream processor for which you want information.
- Class com.amazonaws.services.rekognition.model.DescribeStreamProcessorResult extends AmazonWebServiceResult<ResponseMetadata> implements Serializable
  - Serialized Fields
    - name
```
String name
```
      Name of the stream processor.
    - streamProcessorArn
```
String streamProcessorArn
```
      ARN of the stream processor.
    - status
```
String status
```
      Current status of the stream processor.
    - statusMessage
```
String statusMessage
```
      Detailed status message about the stream processor.
    - creationTimestamp
```
Date creationTimestamp
```
      Date and time the stream processor was created
    - lastUpdateTimestamp
```
Date lastUpdateTimestamp
```
      The time, in Unix format, the stream processor was last updated. For example, when the stream processor moves from a running state to a failed state, or when the user starts or stops the stream processor.
    - input
```
StreamProcessorInput input
```
      Kinesis video stream that provides the source streaming video.
    - output
```
StreamProcessorOutput output
```
      Kinesis data stream to which Amazon Rekognition Video puts the analysis results.
    - roleArn
```
String roleArn
```
      ARN of the IAM role that allows access to the stream processor.
    - settings
```
StreamProcessorSettings settings
```
      Face recognition input parameters that are being used by the stream processor. Includes the collection to use for face recognition and the face attributes to detect.
- Class com.amazonaws.services.rekognition.model.DetectCustomLabelsRequest extends AmazonWebServiceRequest implements Serializable
  - Serialized Fields
    - projectVersionArn
```
String projectVersionArn
```
      The ARN of the model version that you want to use.
    - image
```
Image image
```
    - maxResults
```
Integer maxResults
```
      Maximum number of results you want the service to return in the response. The service returns the specified number of highest confidence labels ranked from highest confidence to lowest.
    - minConfidence
```
Float minConfidence
```
      Specifies the minimum confidence level for the labels to return. Amazon Rekognition doesn't return any labels with a confidence lower than this specified value. If you specify a value of 0, all labels are return, regardless of the default thresholds that the model version applies.
- Class com.amazonaws.services.rekognition.model.DetectCustomLabelsResult extends AmazonWebServiceResult<ResponseMetadata> implements Serializable
  - Serialized Fields
    - customLabels
```
List<E> customLabels
```
      An array of custom labels detected in the input image.
- Class com.amazonaws.services.rekognition.model.DetectFacesRequest extends AmazonWebServiceRequest implements Serializable
  - Serialized Fields
    - image
```
Image image
```
      The input image as base64-encoded bytes or an S3 object. If you use the AWS CLI to call Amazon Rekognition operations, passing base64-encoded image bytes is not supported.
      
      If you are using an AWS SDK to call Amazon Rekognition, you might not need to base64-encode image bytes passed using the Bytes field. For more information, see Images in the Amazon Rekognition developer guide.
    - attributes
```
List<E> attributes
```
      An array of facial attributes you want to be returned. This can be the default list of attributes or all attributes. If you don't specify a value for Attributes or if you specify ["DEFAULT"], the API returns the following subset of facial attributes: BoundingBox, Confidence, Pose, Quality, and Landmarks. If you provide ["ALL"], all facial attributes are returned, but the operation takes longer to complete.
      
      If you provide both, ["ALL", "DEFAULT"], the service uses a logical AND operator to determine which attributes to return (in this case, all attributes).
- Class com.amazonaws.services.rekognition.model.DetectFacesResult extends AmazonWebServiceResult<ResponseMetadata> implements Serializable
  - Serialized Fields
    - faceDetails
```
List<E> faceDetails
```
      Details of each face found in the image.
    - orientationCorrection
```
String orientationCorrection
```
      The value of OrientationCorrection is always null.
      
      If the input image is in .jpeg format, it might contain exchangeable image file format (Exif) metadata that includes the image's orientation. Amazon Rekognition uses this orientation information to perform image correction. The bounding box coordinates are translated to represent object locations after the orientation information in the Exif metadata is used to correct the image orientation. Images in .png format don't contain Exif metadata.
      
      Amazon Rekognition doesn’t perform image correction for images in .png format and .jpeg images without orientation information in the image Exif metadata. The bounding box coordinates aren't translated and represent the object locations before the image is rotated.
- Class com.amazonaws.services.rekognition.model.DetectionFilter extends Object implements Serializable
  - Serialized Fields
    - minConfidence
```
Float minConfidence
```
      Sets the confidence of word detection. Words with detection confidence below this will be excluded from the result. Values should be between 50 and 100 as Text in Video will not return any result below 50.
    - minBoundingBoxHeight
```
Float minBoundingBoxHeight
```
      Sets the minimum height of the word bounding box. Words with bounding box heights lesser than this value will be excluded from the result. Value is relative to the video frame height.
    - minBoundingBoxWidth
```
Float minBoundingBoxWidth
```
      Sets the minimum width of the word bounding box. Words with bounding boxes widths lesser than this value will be excluded from the result. Value is relative to the video frame width.
- Class com.amazonaws.services.rekognition.model.DetectLabelsRequest extends AmazonWebServiceRequest implements Serializable
  - Serialized Fields
    - image
```
Image image
```
      The input image as base64-encoded bytes or an S3 object. If you use the AWS CLI to call Amazon Rekognition operations, passing image bytes is not supported. Images stored in an S3 Bucket do not need to be base64-encoded.
      
      If you are using an AWS SDK to call Amazon Rekognition, you might not need to base64-encode image bytes passed using the Bytes field. For more information, see Images in the Amazon Rekognition developer guide.
    - maxLabels
```
Integer maxLabels
```
      Maximum number of labels you want the service to return in the response. The service returns the specified number of highest confidence labels.
    - minConfidence
```
Float minConfidence
```
      Specifies the minimum confidence level for the labels to return. Amazon Rekognition doesn't return any labels with confidence lower than this specified value.
      
      If MinConfidence is not specified, the operation returns labels with a confidence values greater than or equal to 55 percent.
- Class com.amazonaws.services.rekognition.model.DetectLabelsResult extends AmazonWebServiceResult<ResponseMetadata> implements Serializable
  - Serialized Fields
    - labels
```
List<E> labels
```
      An array of labels for the real-world objects detected.
    - orientationCorrection
```
String orientationCorrection
```
      The value of OrientationCorrection is always null.
      
      If the input image is in .jpeg format, it might contain exchangeable image file format (Exif) metadata that includes the image's orientation. Amazon Rekognition uses this orientation information to perform image correction. The bounding box coordinates are translated to represent object locations after the orientation information in the Exif metadata is used to correct the image orientation. Images in .png format don't contain Exif metadata.
      
      Amazon Rekognition doesn’t perform image correction for images in .png format and .jpeg images without orientation information in the image Exif metadata. The bounding box coordinates aren't translated and represent the object locations before the image is rotated.
    - labelModelVersion
```
String labelModelVersion
```
      Version number of the label detection model that was used to detect labels.
- Class com.amazonaws.services.rekognition.model.DetectModerationLabelsRequest extends AmazonWebServiceRequest implements Serializable
  - Serialized Fields
    - image
```
Image image
```
      The input image as base64-encoded bytes or an S3 object. If you use the AWS CLI to call Amazon Rekognition operations, passing base64-encoded image bytes is not supported.
      
      If you are using an AWS SDK to call Amazon Rekognition, you might not need to base64-encode image bytes passed using the Bytes field. For more information, see Images in the Amazon Rekognition developer guide.
    - minConfidence
```
Float minConfidence
```
      Specifies the minimum confidence level for the labels to return. Amazon Rekognition doesn't return any labels with a confidence level lower than this specified value.
      
      If you don't specify MinConfidence, the operation returns labels with confidence values greater than or equal to 50 percent.
    - humanLoopConfig
```
HumanLoopConfig humanLoopConfig
```
      Sets up the configuration for human evaluation, including the FlowDefinition the image will be sent to.
- Class com.amazonaws.services.rekognition.model.DetectModerationLabelsResult extends AmazonWebServiceResult<ResponseMetadata> implements Serializable
  - Serialized Fields
    - moderationLabels
```
List<E> moderationLabels
```
      Array of detected Moderation labels and the time, in milliseconds from the start of the video, they were detected.
    - moderationModelVersion
```
String moderationModelVersion
```
      Version number of the moderation detection model that was used to detect unsafe content.
    - humanLoopActivationOutput
```
HumanLoopActivationOutput humanLoopActivationOutput
```
      Shows the results of the human in the loop evaluation.
- Class com.amazonaws.services.rekognition.model.DetectProtectiveEquipmentRequest extends AmazonWebServiceRequest implements Serializable
  - Serialized Fields
    - image
```
Image image
```
      The image in which you want to detect PPE on detected persons. The image can be passed as image bytes or you can reference an image stored in an Amazon S3 bucket.
    - summarizationAttributes
```
ProtectiveEquipmentSummarizationAttributes summarizationAttributes
```
      An array of PPE types that you want to summarize.
- Class com.amazonaws.services.rekognition.model.DetectProtectiveEquipmentResult extends AmazonWebServiceResult<ResponseMetadata> implements Serializable
  - Serialized Fields
    - protectiveEquipmentModelVersion
```
String protectiveEquipmentModelVersion
```
      The version number of the PPE detection model used to detect PPE in the image.
    - persons
```
List<E> persons
```
      An array of persons detected in the image (including persons not wearing PPE).
    - summary
```
ProtectiveEquipmentSummary summary
```
      Summary information for the types of PPE specified in the SummarizationAttributes input parameter.
- Class com.amazonaws.services.rekognition.model.DetectTextFilters extends Object implements Serializable
  - Serialized Fields
    - wordFilter
```
DetectionFilter wordFilter
```
    - regionsOfInterest
```
List<E> regionsOfInterest
```
      A Filter focusing on a certain area of the image. Uses a BoundingBox object to set the region of the image.
- Class com.amazonaws.services.rekognition.model.DetectTextRequest extends AmazonWebServiceRequest implements Serializable
  - Serialized Fields
    - image
```
Image image
```
      The input image as base64-encoded bytes or an Amazon S3 object. If you use the AWS CLI to call Amazon Rekognition operations, you can't pass image bytes.
      
      If you are using an AWS SDK to call Amazon Rekognition, you might not need to base64-encode image bytes passed using the Bytes field. For more information, see Images in the Amazon Rekognition developer guide.
    - filters
```
DetectTextFilters filters
```
      Optional parameters that let you set the criteria that the text must meet to be included in your response.
- Class com.amazonaws.services.rekognition.model.DetectTextResult extends AmazonWebServiceResult<ResponseMetadata> implements Serializable
  - Serialized Fields
    - textDetections
```
List<E> textDetections
```
      An array of text that was detected in the input image.
    - textModelVersion
```
String textModelVersion
```
      The model version used to detect text.
- Class com.amazonaws.services.rekognition.model.Emotion extends Object implements Serializable
  - Serialized Fields
    - type
```
String type
```
      Type of emotion detected.
    - confidence
```
Float confidence
```
      Level of confidence in the determination.
- Class com.amazonaws.services.rekognition.model.EquipmentDetection extends Object implements Serializable
  - Serialized Fields
    - boundingBox
```
BoundingBox boundingBox
```
      A bounding box surrounding the item of detected PPE.
    - confidence
```
Float confidence
```
      The confidence that Amazon Rekognition has that the bounding box (BoundingBox) contains an item of PPE.
    - type
```
String type
```
      The type of detected PPE.
    - coversBodyPart
```
CoversBodyPart coversBodyPart
```
      Information about the body part covered by the detected PPE.
- Class com.amazonaws.services.rekognition.model.EvaluationResult extends Object implements Serializable
  - Serialized Fields
    - f1Score
```
Float f1Score
```
      The F1 score for the evaluation of all labels. The F1 score metric evaluates the overall precision and recall performance of the model as a single value. A higher value indicates better precision and recall performance. A lower score indicates that precision, recall, or both are performing poorly.
    - summary
```
Summary summary
```
      The S3 bucket that contains the training summary.
- Class com.amazonaws.services.rekognition.model.Eyeglasses extends Object implements Serializable
  - Serialized Fields
    - value
```
Boolean value
```
      Boolean value that indicates whether the face is wearing eye glasses or not.
    - confidence
```
Float confidence
```
      Level of confidence in the determination.
- Class com.amazonaws.services.rekognition.model.EyeOpen extends Object implements Serializable
  - Serialized Fields
    - value
```
Boolean value
```
      Boolean value that indicates whether the eyes on the face are open.
    - confidence
```
Float confidence
```
      Level of confidence in the determination.
- Class com.amazonaws.services.rekognition.model.Face extends Object implements Serializable
  - Serialized Fields
    - faceId
```
String faceId
```
      Unique identifier that Amazon Rekognition assigns to the face.
    - boundingBox
```
BoundingBox boundingBox
```
      Bounding box of the face.
    - imageId
```
String imageId
```
      Unique identifier that Amazon Rekognition assigns to the input image.
    - externalImageId
```
String externalImageId
```
      Identifier that you assign to all the faces in the input image.
    - confidence
```
Float confidence
```
      Confidence level that the bounding box contains a face (and not a different object such as a tree).
- Class com.amazonaws.services.rekognition.model.FaceDetail extends Object implements Serializable
  - Serialized Fields
    - boundingBox
```
BoundingBox boundingBox
```
      Bounding box of the face. Default attribute.
    - ageRange
```
AgeRange ageRange
```
      The estimated age range, in years, for the face. Low represents the lowest estimated age and High represents the highest estimated age.
    - smile
```
Smile smile
```
      Indicates whether or not the face is smiling, and the confidence level in the determination.
    - eyeglasses
```
Eyeglasses eyeglasses
```
      Indicates whether or not the face is wearing eye glasses, and the confidence level in the determination.
    - sunglasses
```
Sunglasses sunglasses
```
      Indicates whether or not the face is wearing sunglasses, and the confidence level in the determination.
    - gender
```
Gender gender
```
      The predicted gender of a detected face.
    - beard
```
Beard beard
```
      Indicates whether or not the face has a beard, and the confidence level in the determination.
    - mustache
```
Mustache mustache
```
      Indicates whether or not the face has a mustache, and the confidence level in the determination.
    - eyesOpen
```
EyeOpen eyesOpen
```
      Indicates whether or not the eyes on the face are open, and the confidence level in the determination.
    - mouthOpen
```
MouthOpen mouthOpen
```
      Indicates whether or not the mouth on the face is open, and the confidence level in the determination.
    - emotions
```
List<E> emotions
```
      The emotions that appear to be expressed on the face, and the confidence level in the determination. The API is only making a determination of the physical appearance of a person's face. It is not a determination of the person’s internal emotional state and should not be used in such a way. For example, a person pretending to have a sad face might not be sad emotionally.
    - landmarks
```
List<E> landmarks
```
      Indicates the location of landmarks on the face. Default attribute.
    - pose
```
Pose pose
```
      Indicates the pose of the face as determined by its pitch, roll, and yaw. Default attribute.
    - quality
```
ImageQuality quality
```
      Identifies image brightness and sharpness. Default attribute.
    - confidence
```
Float confidence
```
      Confidence level that the bounding box contains a face (and not a different object such as a tree). Default attribute.
- Class com.amazonaws.services.rekognition.model.FaceDetection extends Object implements Serializable
  - Serialized Fields
    - timestamp
```
Long timestamp
```
      Time, in milliseconds from the start of the video, that the face was detected.
    - face
```
FaceDetail face
```
      The face properties for the detected face.
- Class com.amazonaws.services.rekognition.model.FaceMatch extends Object implements Serializable
  - Serialized Fields
    - similarity
```
Float similarity
```
      Confidence in the match of this face with the input face.
    - face
```
Face face
```
      Describes the face properties such as the bounding box, face ID, image ID of the source image, and external image ID that you assigned.
- Class com.amazonaws.services.rekognition.model.FaceRecord extends Object implements Serializable
  - Serialized Fields
    - face
```
Face face
```
      Describes the face properties such as the bounding box, face ID, image ID of the input image, and external image ID that you assigned.
    - faceDetail
```
FaceDetail faceDetail
```
      Structure containing attributes of the face that the algorithm detected.
- Class com.amazonaws.services.rekognition.model.FaceSearchSettings extends Object implements Serializable
  - Serialized Fields
    - collectionId
```
String collectionId
```
      The ID of a collection that contains faces that you want to search for.
    - faceMatchThreshold
```
Float faceMatchThreshold
```
      Minimum face match confidence score that must be met to return a result for a recognized face. Default is 80. 0 is the lowest confidence. 100 is the highest confidence.
- Class com.amazonaws.services.rekognition.model.Gender extends Object implements Serializable
  - Serialized Fields
    - value
```
String value
```
      The predicted gender of the face.
    - confidence
```
Float confidence
```
      Level of confidence in the prediction.
- Class com.amazonaws.services.rekognition.model.Geometry extends Object implements Serializable
  - Serialized Fields
    - boundingBox
```
BoundingBox boundingBox
```
      An axis-aligned coarse representation of the detected item's location on the image.
    - polygon
```
List<E> polygon
```
      Within the bounding box, a fine-grained polygon around the detected item.
- Class com.amazonaws.services.rekognition.model.GetCelebrityInfoRequest extends AmazonWebServiceRequest implements Serializable
  - Serialized Fields
    - id
```
String id
```
      The ID for the celebrity. You get the celebrity ID from a call to the RecognizeCelebrities operation, which recognizes celebrities in an image.
- Class com.amazonaws.services.rekognition.model.GetCelebrityInfoResult extends AmazonWebServiceResult<ResponseMetadata> implements Serializable
  - Serialized Fields
    - urls
```
List<E> urls
```
      An array of URLs pointing to additional celebrity information.
    - name
```
String name
```
      The name of the celebrity.
- Class com.amazonaws.services.rekognition.model.GetCelebrityRecognitionRequest extends AmazonWebServiceRequest implements Serializable
  - Serialized Fields
    - jobId
```
String jobId
```
      Job identifier for the required celebrity recognition analysis. You can get the job identifer from a call to StartCelebrityRecognition.
    - maxResults
```
Integer maxResults
```
      Maximum number of results to return per paginated call. The largest value you can specify is 1000. If you specify a value greater than 1000, a maximum of 1000 results is returned. The default value is 1000.
    - nextToken
```
String nextToken
```
      If the previous response was incomplete (because there is more recognized celebrities to retrieve), Amazon Rekognition Video returns a pagination token in the response. You can use this pagination token to retrieve the next set of celebrities.
    - sortBy
```
String sortBy
```
      Sort to use for celebrities returned in Celebrities field. Specify ID to sort by the celebrity identifier, specify TIMESTAMP to sort by the time the celebrity was recognized.
- Class com.amazonaws.services.rekognition.model.GetCelebrityRecognitionResult extends AmazonWebServiceResult<ResponseMetadata> implements Serializable
  - Serialized Fields
    - jobStatus
```
String jobStatus
```
      The current status of the celebrity recognition job.
    - statusMessage
```
String statusMessage
```
      If the job fails, StatusMessage provides a descriptive error message.
    - videoMetadata
```
VideoMetadata videoMetadata
```
      Information about a video that Amazon Rekognition Video analyzed. Videometadata is returned in every page of paginated responses from a Amazon Rekognition Video operation.
    - nextToken
```
String nextToken
```
      If the response is truncated, Amazon Rekognition Video returns this token that you can use in the subsequent request to retrieve the next set of celebrities.
    - celebrities
```
List<E> celebrities
```
      Array of celebrities recognized in the video.
- Class com.amazonaws.services.rekognition.model.GetContentModerationRequest extends AmazonWebServiceRequest implements Serializable
  - Serialized Fields
    - jobId
```
String jobId
```
      The identifier for the unsafe content job. Use JobId to identify the job in a subsequent call to GetContentModeration.
    - maxResults
```
Integer maxResults
```
      Maximum number of results to return per paginated call. The largest value you can specify is 1000. If you specify a value greater than 1000, a maximum of 1000 results is returned. The default value is 1000.
    - nextToken
```
String nextToken
```
      If the previous response was incomplete (because there is more data to retrieve), Amazon Rekognition returns a pagination token in the response. You can use this pagination token to retrieve the next set of unsafe content labels.
    - sortBy
```
String sortBy
```
      Sort to use for elements in the ModerationLabelDetections array. Use TIMESTAMP to sort array elements by the time labels are detected. Use NAME to alphabetically group elements for a label together. Within each label group, the array element are sorted by detection confidence. The default sort is by TIMESTAMP.
- Class com.amazonaws.services.rekognition.model.GetContentModerationResult extends AmazonWebServiceResult<ResponseMetadata> implements Serializable
  - Serialized Fields
    - jobStatus
```
String jobStatus
```
      The current status of the unsafe content analysis job.
    - statusMessage
```
String statusMessage
```
      If the job fails, StatusMessage provides a descriptive error message.
    - videoMetadata
```
VideoMetadata videoMetadata
```
      Information about a video that Amazon Rekognition analyzed. Videometadata is returned in every page of paginated responses from GetContentModeration.
    - moderationLabels
```
List<E> moderationLabels
```
      The detected unsafe content labels and the time(s) they were detected.
    - nextToken
```
String nextToken
```
      If the response is truncated, Amazon Rekognition Video returns this token that you can use in the subsequent request to retrieve the next set of unsafe content labels.
    - moderationModelVersion
```
String moderationModelVersion
```
      Version number of the moderation detection model that was used to detect unsafe content.
- Class com.amazonaws.services.rekognition.model.GetFaceDetectionRequest extends AmazonWebServiceRequest implements Serializable
  - Serialized Fields
    - jobId
```
String jobId
```
      Unique identifier for the face detection job. The JobId is returned from StartFaceDetection.
    - maxResults
```
Integer maxResults
```
      Maximum number of results to return per paginated call. The largest value you can specify is 1000. If you specify a value greater than 1000, a maximum of 1000 results is returned. The default value is 1000.
    - nextToken
```
String nextToken
```
      If the previous response was incomplete (because there are more faces to retrieve), Amazon Rekognition Video returns a pagination token in the response. You can use this pagination token to retrieve the next set of faces.
- Class com.amazonaws.services.rekognition.model.GetFaceDetectionResult extends AmazonWebServiceResult<ResponseMetadata> implements Serializable
  - Serialized Fields
    - jobStatus
```
String jobStatus
```
      The current status of the face detection job.
    - statusMessage
```
String statusMessage
```
      If the job fails, StatusMessage provides a descriptive error message.
    - videoMetadata
```
VideoMetadata videoMetadata
```
      Information about a video that Amazon Rekognition Video analyzed. Videometadata is returned in every page of paginated responses from a Amazon Rekognition video operation.
    - nextToken
```
String nextToken
```
      If the response is truncated, Amazon Rekognition returns this token that you can use in the subsequent request to retrieve the next set of faces.
    - faces
```
List<E> faces
```
      An array of faces detected in the video. Each element contains a detected face's details and the time, in milliseconds from the start of the video, the face was detected.
- Class com.amazonaws.services.rekognition.model.GetFaceSearchRequest extends AmazonWebServiceRequest implements Serializable
  - Serialized Fields
    - jobId
```
String jobId
```
      The job identifer for the search request. You get the job identifier from an initial call to StartFaceSearch.
    - maxResults
```
Integer maxResults
```
      Maximum number of results to return per paginated call. The largest value you can specify is 1000. If you specify a value greater than 1000, a maximum of 1000 results is returned. The default value is 1000.
    - nextToken
```
String nextToken
```
      If the previous response was incomplete (because there is more search results to retrieve), Amazon Rekognition Video returns a pagination token in the response. You can use this pagination token to retrieve the next set of search results.
    - sortBy
```
String sortBy
```
      Sort to use for grouping faces in the response. Use TIMESTAMP to group faces by the time that they are recognized. Use INDEX to sort by recognized faces.
- Class com.amazonaws.services.rekognition.model.GetFaceSearchResult extends AmazonWebServiceResult<ResponseMetadata> implements Serializable
  - Serialized Fields
    - jobStatus
```
String jobStatus
```
      The current status of the face search job.
    - statusMessage
```
String statusMessage
```
      If the job fails, StatusMessage provides a descriptive error message.
    - nextToken
```
String nextToken
```
      If the response is truncated, Amazon Rekognition Video returns this token that you can use in the subsequent request to retrieve the next set of search results.
    - videoMetadata
```
VideoMetadata videoMetadata
```
      Information about a video that Amazon Rekognition analyzed. Videometadata is returned in every page of paginated responses from a Amazon Rekognition Video operation.
    - persons
```
List<E> persons
```
      An array of persons, PersonMatch, in the video whose face(s) match the face(s) in an Amazon Rekognition collection. It also includes time information for when persons are matched in the video. You specify the input collection in an initial call to StartFaceSearch. Each Persons element includes a time the person was matched, face match details (FaceMatches) for matching faces in the collection, and person information (Person) for the matched person.
- Class com.amazonaws.services.rekognition.model.GetLabelDetectionRequest extends AmazonWebServiceRequest implements Serializable
  - Serialized Fields
    - jobId
```
String jobId
```
      Job identifier for the label detection operation for which you want results returned. You get the job identifer from an initial call to StartlabelDetection.
    - maxResults
```
Integer maxResults
```
      Maximum number of results to return per paginated call. The largest value you can specify is 1000. If you specify a value greater than 1000, a maximum of 1000 results is returned. The default value is 1000.
    - nextToken
```
String nextToken
```
      If the previous response was incomplete (because there are more labels to retrieve), Amazon Rekognition Video returns a pagination token in the response. You can use this pagination token to retrieve the next set of labels.
    - sortBy
```
String sortBy
```
      Sort to use for elements in the Labels array. Use TIMESTAMP to sort array elements by the time labels are detected. Use NAME to alphabetically group elements for a label together. Within each label group, the array element are sorted by detection confidence. The default sort is by TIMESTAMP.
- Class com.amazonaws.services.rekognition.model.GetLabelDetectionResult extends AmazonWebServiceResult<ResponseMetadata> implements Serializable
  - Serialized Fields
    - jobStatus
```
String jobStatus
```
      The current status of the label detection job.
    - statusMessage
```
String statusMessage
```
      If the job fails, StatusMessage provides a descriptive error message.
    - videoMetadata
```
VideoMetadata videoMetadata
```
      Information about a video that Amazon Rekognition Video analyzed. Videometadata is returned in every page of paginated responses from a Amazon Rekognition video operation.
    - nextToken
```
String nextToken
```
      If the response is truncated, Amazon Rekognition Video returns this token that you can use in the subsequent request to retrieve the next set of labels.
    - labels
```
List<E> labels
```
      An array of labels detected in the video. Each element contains the detected label and the time, in milliseconds from the start of the video, that the label was detected.
    - labelModelVersion
```
String labelModelVersion
```
      Version number of the label detection model that was used to detect labels.
- Class com.amazonaws.services.rekognition.model.GetPersonTrackingRequest extends AmazonWebServiceRequest implements Serializable
  - Serialized Fields
    - jobId
```
String jobId
```
      The identifier for a job that tracks persons in a video. You get the JobId from a call to StartPersonTracking.
    - maxResults
```
Integer maxResults
```
      Maximum number of results to return per paginated call. The largest value you can specify is 1000. If you specify a value greater than 1000, a maximum of 1000 results is returned. The default value is 1000.
    - nextToken
```
String nextToken
```
      If the previous response was incomplete (because there are more persons to retrieve), Amazon Rekognition Video returns a pagination token in the response. You can use this pagination token to retrieve the next set of persons.
    - sortBy
```
String sortBy
```
      Sort to use for elements in the Persons array. Use TIMESTAMP to sort array elements by the time persons are detected. Use INDEX to sort by the tracked persons. If you sort by INDEX, the array elements for each person are sorted by detection confidence. The default sort is by TIMESTAMP.
- Class com.amazonaws.services.rekognition.model.GetPersonTrackingResult extends AmazonWebServiceResult<ResponseMetadata> implements Serializable
  - Serialized Fields
    - jobStatus
```
String jobStatus
```
      The current status of the person tracking job.
    - statusMessage
```
String statusMessage
```
      If the job fails, StatusMessage provides a descriptive error message.
    - videoMetadata
```
VideoMetadata videoMetadata
```
      Information about a video that Amazon Rekognition Video analyzed. Videometadata is returned in every page of paginated responses from a Amazon Rekognition Video operation.
    - nextToken
```
String nextToken
```
      If the response is truncated, Amazon Rekognition Video returns this token that you can use in the subsequent request to retrieve the next set of persons.
    - persons
```
List<E> persons
```
      An array of the persons detected in the video and the time(s) their path was tracked throughout the video. An array element will exist for each time a person's path is tracked.
- Class com.amazonaws.services.rekognition.model.GetSegmentDetectionRequest extends AmazonWebServiceRequest implements Serializable
  - Serialized Fields
    - jobId
```
String jobId
```
      Job identifier for the text detection operation for which you want results returned. You get the job identifer from an initial call to StartSegmentDetection.
    - maxResults
```
Integer maxResults
```
      Maximum number of results to return per paginated call. The largest value you can specify is 1000.
    - nextToken
```
String nextToken
```
      If the response is truncated, Amazon Rekognition Video returns this token that you can use in the subsequent request to retrieve the next set of text.
- Class com.amazonaws.services.rekognition.model.GetSegmentDetectionResult extends AmazonWebServiceResult<ResponseMetadata> implements Serializable
  - Serialized Fields
    - jobStatus
```
String jobStatus
```
      Current status of the segment detection job.
    - statusMessage
```
String statusMessage
```
      If the job fails, StatusMessage provides a descriptive error message.
    - videoMetadata
```
List<E> videoMetadata
```
      Currently, Amazon Rekognition Video returns a single object in the VideoMetadata array. The object contains information about the video stream in the input file that Amazon Rekognition Video chose to analyze. The VideoMetadata object includes the video codec, video format and other information. Video metadata is returned in each page of information returned by GetSegmentDetection.
    - audioMetadata
```
List<E> audioMetadata
```
      An array of objects. There can be multiple audio streams. Each AudioMetadata object contains metadata for a single audio stream. Audio information in an AudioMetadata objects includes the audio codec, the number of audio channels, the duration of the audio stream, and the sample rate. Audio metadata is returned in each page of information returned by GetSegmentDetection.
    - nextToken
```
String nextToken
```
      If the previous response was incomplete (because there are more labels to retrieve), Amazon Rekognition Video returns a pagination token in the response. You can use this pagination token to retrieve the next set of text.
    - segments
```
List<E> segments
```
      An array of segments detected in a video. The array is sorted by the segment types (TECHNICAL_CUE or SHOT) specified in the SegmentTypes input parameter of StartSegmentDetection. Within each segment type the array is sorted by timestamp values.
    - selectedSegmentTypes
```
List<E> selectedSegmentTypes
```
      An array containing the segment types requested in the call to StartSegmentDetection.
- Class com.amazonaws.services.rekognition.model.GetTextDetectionRequest extends AmazonWebServiceRequest implements Serializable
  - Serialized Fields
    - jobId
```
String jobId
```
      Job identifier for the text detection operation for which you want results returned. You get the job identifer from an initial call to StartTextDetection.
    - maxResults
```
Integer maxResults
```
      Maximum number of results to return per paginated call. The largest value you can specify is 1000.
    - nextToken
```
String nextToken
```
      If the previous response was incomplete (because there are more labels to retrieve), Amazon Rekognition Video returns a pagination token in the response. You can use this pagination token to retrieve the next set of text.
- Class com.amazonaws.services.rekognition.model.GetTextDetectionResult extends AmazonWebServiceResult<ResponseMetadata> implements Serializable
  - Serialized Fields
    - jobStatus
```
String jobStatus
```
      Current status of the text detection job.
    - statusMessage
```
String statusMessage
```
      If the job fails, StatusMessage provides a descriptive error message.
    - videoMetadata
```
VideoMetadata videoMetadata
```
    - textDetections
```
List<E> textDetections
```
      An array of text detected in the video. Each element contains the detected text, the time in milliseconds from the start of the video that the text was detected, and where it was detected on the screen.
    - nextToken
```
String nextToken
```
      If the response is truncated, Amazon Rekognition Video returns this token that you can use in the subsequent request to retrieve the next set of text.
    - textModelVersion
```
String textModelVersion
```
      Version number of the text detection model that was used to detect text.
- Class com.amazonaws.services.rekognition.model.GroundTruthManifest extends Object implements Serializable
  - Serialized Fields
    - s3Object
```
S3Object s3Object
```
- Class com.amazonaws.services.rekognition.model.HumanLoopActivationOutput extends Object implements Serializable
  - Serialized Fields
    - humanLoopArn
```
String humanLoopArn
```
      The Amazon Resource Name (ARN) of the HumanLoop created.
    - humanLoopActivationReasons
```
List<E> humanLoopActivationReasons
```
      Shows if and why human review was needed.
    - humanLoopActivationConditionsEvaluationResults
```
String humanLoopActivationConditionsEvaluationResults
```
      Shows the result of condition evaluations, including those conditions which activated a human review.
- Class com.amazonaws.services.rekognition.model.HumanLoopConfig extends Object implements Serializable
  - Serialized Fields
    - humanLoopName
```
String humanLoopName
```
      The name of the human review used for this image. This should be kept unique within a region.
    - flowDefinitionArn
```
String flowDefinitionArn
```
      The Amazon Resource Name (ARN) of the flow definition. You can create a flow definition by using the Amazon Sagemaker CreateFlowDefinition Operation.
    - dataAttributes
```
HumanLoopDataAttributes dataAttributes
```
      Sets attributes of the input data.
- Class com.amazonaws.services.rekognition.model.HumanLoopDataAttributes extends Object implements Serializable
  - Serialized Fields
    - contentClassifiers
```
List<E> contentClassifiers
```
      Sets whether the input image is free of personally identifiable information.
- Class com.amazonaws.services.rekognition.model.HumanLoopQuotaExceededException extends AmazonRekognitionException implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - resourceType
```
String resourceType
```
      The resource type.
    - quotaCode
```
String quotaCode
```
      The quota code.
    - serviceCode
```
String serviceCode
```
      The service code.
- Class com.amazonaws.services.rekognition.model.IdempotentParameterMismatchException extends AmazonRekognitionException implements Serializable
  
  serialVersionUID:
  
  1L
- Class com.amazonaws.services.rekognition.model.Image extends Object implements Serializable
  - Serialized Fields
    - bytes
```
ByteBuffer bytes
```
      Blob of image bytes up to 5 MBs.
    - s3Object
```
S3Object s3Object
```
      Identifies an S3 object as the image source.
- Class com.amazonaws.services.rekognition.model.ImageQuality extends Object implements Serializable
  - Serialized Fields
    - brightness
```
Float brightness
```
      Value representing brightness of the face. The service returns a value between 0 and 100 (inclusive). A higher value indicates a brighter face image.
    - sharpness
```
Float sharpness
```
      Value representing sharpness of the face. The service returns a value between 0 and 100 (inclusive). A higher value indicates a sharper face image.
- Class com.amazonaws.services.rekognition.model.ImageTooLargeException extends AmazonRekognitionException implements Serializable
  
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- Class com.amazonaws.services.rekognition.model.IndexFacesRequest extends AmazonWebServiceRequest implements Serializable
  - Serialized Fields
    - collectionId
```
String collectionId
```
      The ID of an existing collection to which you want to add the faces that are detected in the input images.
    - image
```
Image image
```
      The input image as base64-encoded bytes or an S3 object. If you use the AWS CLI to call Amazon Rekognition operations, passing base64-encoded image bytes isn't supported.
      
      If you are using an AWS SDK to call Amazon Rekognition, you might not need to base64-encode image bytes passed using the Bytes field. For more information, see Images in the Amazon Rekognition developer guide.
    - externalImageId
```
String externalImageId
```
      The ID you want to assign to all the faces detected in the image.
    - detectionAttributes
```
List<E> detectionAttributes
```
      An array of facial attributes that you want to be returned. This can be the default list of attributes or all attributes. If you don't specify a value for Attributes or if you specify ["DEFAULT"], the API returns the following subset of facial attributes: BoundingBox, Confidence, Pose, Quality, and Landmarks. If you provide ["ALL"], all facial attributes are returned, but the operation takes longer to complete.
      
      If you provide both, ["ALL", "DEFAULT"], the service uses a logical AND operator to determine which attributes to return (in this case, all attributes).
    - maxFaces
```
Integer maxFaces
```
      The maximum number of faces to index. The value of MaxFaces must be greater than or equal to 1. IndexFaces returns no more than 100 detected faces in an image, even if you specify a larger value for MaxFaces.
      
      If IndexFaces detects more faces than the value of MaxFaces, the faces with the lowest quality are filtered out first. If there are still more faces than the value of MaxFaces, the faces with the smallest bounding boxes are filtered out (up to the number that's needed to satisfy the value of MaxFaces). Information about the unindexed faces is available in the UnindexedFaces array.
      
      The faces that are returned by IndexFaces are sorted by the largest face bounding box size to the smallest size, in descending order.
      
      MaxFaces can be used with a collection associated with any version of the face model.
    - qualityFilter
```
String qualityFilter
```
      A filter that specifies a quality bar for how much filtering is done to identify faces. Filtered faces aren't indexed. If you specify AUTO, Amazon Rekognition chooses the quality bar. If you specify LOW, MEDIUM, or HIGH, filtering removes all faces that don’t meet the chosen quality bar. The default value is AUTO. The quality bar is based on a variety of common use cases. Low-quality detections can occur for a number of reasons. Some examples are an object that's misidentified as a face, a face that's too blurry, or a face with a pose that's too extreme to use. If you specify NONE, no filtering is performed.
      
      To use quality filtering, the collection you are using must be associated with version 3 of the face model or higher.
- Class com.amazonaws.services.rekognition.model.IndexFacesResult extends AmazonWebServiceResult<ResponseMetadata> implements Serializable
  - Serialized Fields
    - faceRecords
```
List<E> faceRecords
```
      An array of faces detected and added to the collection. For more information, see Searching Faces in a Collection in the Amazon Rekognition Developer Guide.
    - orientationCorrection
```
String orientationCorrection
```
      If your collection is associated with a face detection model that's later than version 3.0, the value of OrientationCorrection is always null and no orientation information is returned.
      
      If your collection is associated with a face detection model that's version 3.0 or earlier, the following applies:
      
      If the input image is in .jpeg format, it might contain exchangeable image file format (Exif) metadata that includes the image's orientation. Amazon Rekognition uses this orientation information to perform image correction - the bounding box coordinates are translated to represent object locations after the orientation information in the Exif metadata is used to correct the image orientation. Images in .png format don't contain Exif metadata. The value of OrientationCorrection is null.
      
      If the image doesn't contain orientation information in its Exif metadata, Amazon Rekognition returns an estimated orientation (ROTATE_0, ROTATE_90, ROTATE_180, ROTATE_270). Amazon Rekognition doesn’t perform image correction for images. The bounding box coordinates aren't translated and represent the object locations before the image is rotated.
      
      Bounding box information is returned in the FaceRecords array. You can get the version of the face detection model by calling DescribeCollection.
    - faceModelVersion
```
String faceModelVersion
```
      The version number of the face detection model that's associated with the input collection ( CollectionId).
    - unindexedFaces
```
List<E> unindexedFaces
```
      An array of faces that were detected in the image but weren't indexed. They weren't indexed because the quality filter identified them as low quality, or the MaxFaces request parameter filtered them out. To use the quality filter, you specify the QualityFilter request parameter.
- Class com.amazonaws.services.rekognition.model.Instance extends Object implements Serializable
  - Serialized Fields
    - boundingBox
```
BoundingBox boundingBox
```
      The position of the label instance on the image.
    - confidence
```
Float confidence
```
      The confidence that Amazon Rekognition has in the accuracy of the bounding box.
- Class com.amazonaws.services.rekognition.model.InternalServerErrorException extends AmazonRekognitionException implements Serializable
  
  serialVersionUID:
  
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- Class com.amazonaws.services.rekognition.model.InvalidImageFormatException extends AmazonRekognitionException implements Serializable
  
  serialVersionUID:
  
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- Class com.amazonaws.services.rekognition.model.InvalidPaginationTokenException extends AmazonRekognitionException implements Serializable
  
  serialVersionUID:
  
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- Class com.amazonaws.services.rekognition.model.InvalidParameterException extends AmazonRekognitionException implements Serializable
  
  serialVersionUID:
  
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- Class com.amazonaws.services.rekognition.model.InvalidS3ObjectException extends AmazonRekognitionException implements Serializable
  
  serialVersionUID:
  
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- Class com.amazonaws.services.rekognition.model.KinesisDataStream extends Object implements Serializable
  - Serialized Fields
    - arn
```
String arn
```
      ARN of the output Amazon Kinesis Data Streams stream.
- Class com.amazonaws.services.rekognition.model.KinesisVideoStream extends Object implements Serializable
  - Serialized Fields
    - arn
```
String arn
```
      ARN of the Kinesis video stream stream that streams the source video.
- Class com.amazonaws.services.rekognition.model.Label extends Object implements Serializable
  - Serialized Fields
    - name
```
String name
```
      The name (label) of the object or scene.
    - confidence
```
Float confidence
```
      Level of confidence.
    - instances
```
List<E> instances
```
      If Label represents an object, Instances contains the bounding boxes for each instance of the detected object. Bounding boxes are returned for common object labels such as people, cars, furniture, apparel or pets.
    - parents
```
List<E> parents
```
      The parent labels for a label. The response includes all ancestor labels.
- Class com.amazonaws.services.rekognition.model.LabelDetection extends Object implements Serializable
  - Serialized Fields
    - timestamp
```
Long timestamp
```
      Time, in milliseconds from the start of the video, that the label was detected.
    - label
```
Label label
```
      Details about the detected label.
- Class com.amazonaws.services.rekognition.model.Landmark extends Object implements Serializable
  - Serialized Fields
    - type
```
String type
```
      Type of landmark.
    - x
```
Float x
```
      The x-coordinate of the landmark expressed as a ratio of the width of the image. The x-coordinate is measured from the left-side of the image. For example, if the image is 700 pixels wide and the x-coordinate of the landmark is at 350 pixels, this value is 0.5.
    - y
```
Float y
```
      The y-coordinate of the landmark expressed as a ratio of the height of the image. The y-coordinate is measured from the top of the image. For example, if the image height is 200 pixels and the y-coordinate of the landmark is at 50 pixels, this value is 0.25.
- Class com.amazonaws.services.rekognition.model.LimitExceededException extends AmazonRekognitionException implements Serializable
  
  serialVersionUID:
  
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- Class com.amazonaws.services.rekognition.model.ListCollectionsRequest extends AmazonWebServiceRequest implements Serializable
  - Serialized Fields
    - nextToken
```
String nextToken
```
      Pagination token from the previous response.
    - maxResults
```
Integer maxResults
```
      Maximum number of collection IDs to return.
- Class com.amazonaws.services.rekognition.model.ListCollectionsResult extends AmazonWebServiceResult<ResponseMetadata> implements Serializable
  - Serialized Fields
    - collectionIds
```
List<E> collectionIds
```
      An array of collection IDs.
    - nextToken
```
String nextToken
```
      If the result is truncated, the response provides a NextToken that you can use in the subsequent request to fetch the next set of collection IDs.
    - faceModelVersions
```
List<E> faceModelVersions
```
      Version numbers of the face detection models associated with the collections in the array CollectionIds. For example, the value of FaceModelVersions[2] is the version number for the face detection model used by the collection in CollectionId[2].
- Class com.amazonaws.services.rekognition.model.ListFacesRequest extends AmazonWebServiceRequest implements Serializable
  - Serialized Fields
    - collectionId
```
String collectionId
```
      ID of the collection from which to list the faces.
    - nextToken
```
String nextToken
```
      If the previous response was incomplete (because there is more data to retrieve), Amazon Rekognition returns a pagination token in the response. You can use this pagination token to retrieve the next set of faces.
    - maxResults
```
Integer maxResults
```
      Maximum number of faces to return.
- Class com.amazonaws.services.rekognition.model.ListFacesResult extends AmazonWebServiceResult<ResponseMetadata> implements Serializable
  - Serialized Fields
    - faces
```
List<E> faces
```
      An array of Face objects.
    - nextToken
```
String nextToken
```
      If the response is truncated, Amazon Rekognition returns this token that you can use in the subsequent request to retrieve the next set of faces.
    - faceModelVersion
```
String faceModelVersion
```
      Version number of the face detection model associated with the input collection (CollectionId).
- Class com.amazonaws.services.rekognition.model.ListStreamProcessorsRequest extends AmazonWebServiceRequest implements Serializable
  - Serialized Fields
    - nextToken
```
String nextToken
```
      If the previous response was incomplete (because there are more stream processors to retrieve), Amazon Rekognition Video returns a pagination token in the response. You can use this pagination token to retrieve the next set of stream processors.
    - maxResults
```
Integer maxResults
```
      Maximum number of stream processors you want Amazon Rekognition Video to return in the response. The default is 1000.
- Class com.amazonaws.services.rekognition.model.ListStreamProcessorsResult extends AmazonWebServiceResult<ResponseMetadata> implements Serializable
  - Serialized Fields
    - nextToken
```
String nextToken
```
      If the response is truncated, Amazon Rekognition Video returns this token that you can use in the subsequent request to retrieve the next set of stream processors.
    - streamProcessors
```
List<E> streamProcessors
```
      List of stream processors that you have created.
- Class com.amazonaws.services.rekognition.model.ListTagsForResourceRequest extends AmazonWebServiceRequest implements Serializable
  - Serialized Fields
    - resourceArn
```
String resourceArn
```
      Amazon Resource Name (ARN) of the model, collection, or stream processor that contains the tags that you want a list of.
- Class com.amazonaws.services.rekognition.model.ListTagsForResourceResult extends AmazonWebServiceResult<ResponseMetadata> implements Serializable
  - Serialized Fields
    - tags
```
Map<K,V> tags
```
      A list of key-value tags assigned to the resource.
- Class com.amazonaws.services.rekognition.model.ModerationLabel extends Object implements Serializable
  - Serialized Fields
    - confidence
```
Float confidence
```
      Specifies the confidence that Amazon Rekognition has that the label has been correctly identified.
      
      If you don't specify the MinConfidence parameter in the call to DetectModerationLabels, the operation returns labels with a confidence value greater than or equal to 50 percent.
    - name
```
String name
```
      The label name for the type of unsafe content detected in the image.
    - parentName
```
String parentName
```
      The name for the parent label. Labels at the top level of the hierarchy have the parent label "".
- Class com.amazonaws.services.rekognition.model.MouthOpen extends Object implements Serializable
  - Serialized Fields
    - value
```
Boolean value
```
      Boolean value that indicates whether the mouth on the face is open or not.
    - confidence
```
Float confidence
```
      Level of confidence in the determination.
- Class com.amazonaws.services.rekognition.model.Mustache extends Object implements Serializable
  - Serialized Fields
    - value
```
Boolean value
```
      Boolean value that indicates whether the face has mustache or not.
    - confidence
```
Float confidence
```
      Level of confidence in the determination.
- Class com.amazonaws.services.rekognition.model.NotificationChannel extends Object implements Serializable
  - Serialized Fields
    - sNSTopicArn
```
String sNSTopicArn
```
      The Amazon SNS topic to which Amazon Rekognition to posts the completion status.
    - roleArn
```
String roleArn
```
      The ARN of an IAM role that gives Amazon Rekognition publishing permissions to the Amazon SNS topic.
- Class com.amazonaws.services.rekognition.model.OutputConfig extends Object implements Serializable
  - Serialized Fields
    - s3Bucket
```
String s3Bucket
```
      The S3 bucket where training output is placed.
    - s3KeyPrefix
```
String s3KeyPrefix
```
      The prefix applied to the training output files.
- Class com.amazonaws.services.rekognition.model.Parent extends Object implements Serializable
  - Serialized Fields
    - name
```
String name
```
      The name of the parent label.
- Class com.amazonaws.services.rekognition.model.PersonDetail extends Object implements Serializable
  - Serialized Fields
    - index
```
Long index
```
      Identifier for the person detected person within a video. Use to keep track of the person throughout the video. The identifier is not stored by Amazon Rekognition.
    - boundingBox
```
BoundingBox boundingBox
```
      Bounding box around the detected person.
    - face
```
FaceDetail face
```
      Face details for the detected person.
- Class com.amazonaws.services.rekognition.model.PersonDetection extends Object implements Serializable
  - Serialized Fields
    - timestamp
```
Long timestamp
```
      The time, in milliseconds from the start of the video, that the person's path was tracked.
    - person
```
PersonDetail person
```
      Details about a person whose path was tracked in a video.
- Class com.amazonaws.services.rekognition.model.PersonMatch extends Object implements Serializable
  - Serialized Fields
    - timestamp
```
Long timestamp
```
      The time, in milliseconds from the beginning of the video, that the person was matched in the video.
    - person
```
PersonDetail person
```
      Information about the matched person.
    - faceMatches
```
List<E> faceMatches
```
      Information about the faces in the input collection that match the face of a person in the video.
- Class com.amazonaws.services.rekognition.model.Point extends Object implements Serializable
  - Serialized Fields
    - x
```
Float x
```
      The value of the X coordinate for a point on a Polygon.
    - y
```
Float y
```
      The value of the Y coordinate for a point on a Polygon.
- Class com.amazonaws.services.rekognition.model.Pose extends Object implements Serializable
  - Serialized Fields
    - roll
```
Float roll
```
      Value representing the face rotation on the roll axis.
    - yaw
```
Float yaw
```
      Value representing the face rotation on the yaw axis.
    - pitch
```
Float pitch
```
      Value representing the face rotation on the pitch axis.
- Class com.amazonaws.services.rekognition.model.ProjectDescription extends Object implements Serializable
  - Serialized Fields
    - projectArn
```
String projectArn
```
      The Amazon Resource Name (ARN) of the project.
    - creationTimestamp
```
Date creationTimestamp
```
      The Unix timestamp for the date and time that the project was created.
    - status
```
String status
```
      The current status of the project.
- Class com.amazonaws.services.rekognition.model.ProjectVersionDescription extends Object implements Serializable
  - Serialized Fields
    - projectVersionArn
```
String projectVersionArn
```
      The Amazon Resource Name (ARN) of the model version.
    - creationTimestamp
```
Date creationTimestamp
```
      The Unix datetime for the date and time that training started.
    - minInferenceUnits
```
Integer minInferenceUnits
```
      The minimum number of inference units used by the model. For more information, see StartProjectVersion.
    - status
```
String status
```
      The current status of the model version.
    - statusMessage
```
String statusMessage
```
      A descriptive message for an error or warning that occurred.
    - billableTrainingTimeInSeconds
```
Long billableTrainingTimeInSeconds
```
      The duration, in seconds, that the model version has been billed for training. This value is only returned if the model version has been successfully trained.
    - trainingEndTimestamp
```
Date trainingEndTimestamp
```
      The Unix date and time that training of the model ended.
    - outputConfig
```
OutputConfig outputConfig
```
      The location where training results are saved.
    - trainingDataResult
```
TrainingDataResult trainingDataResult
```
      Contains information about the training results.
    - testingDataResult
```
TestingDataResult testingDataResult
```
      Contains information about the testing results.
    - evaluationResult
```
EvaluationResult evaluationResult
```
      The training results. EvaluationResult is only returned if training is successful.
    - manifestSummary
```
GroundTruthManifest manifestSummary
```
      The location of the summary manifest. The summary manifest provides aggregate data validation results for the training and test datasets.
- Class com.amazonaws.services.rekognition.model.ProtectiveEquipmentBodyPart extends Object implements Serializable
  - Serialized Fields
    - name
```
String name
```
      The detected body part.
    - confidence
```
Float confidence
```
      The confidence that Amazon Rekognition has in the detection accuracy of the detected body part.
    - equipmentDetections
```
List<E> equipmentDetections
```
      An array of Personal Protective Equipment items detected around a body part.
- Class com.amazonaws.services.rekognition.model.ProtectiveEquipmentPerson extends Object implements Serializable
  - Serialized Fields
    - bodyParts
```
List<E> bodyParts
```
      An array of body parts detected on a person's body (including body parts without PPE).
    - boundingBox
```
BoundingBox boundingBox
```
      A bounding box around the detected person.
    - confidence
```
Float confidence
```
      The confidence that Amazon Rekognition has that the bounding box contains a person.
    - id
```
Integer id
```
      The identifier for the detected person. The identifier is only unique for a single call to DetectProtectiveEquipment.
- Class com.amazonaws.services.rekognition.model.ProtectiveEquipmentSummarizationAttributes extends Object implements Serializable
  - Serialized Fields
    - minConfidence
```
Float minConfidence
```
      The minimum confidence level for which you want summary information. The confidence level applies to person detection, body part detection, equipment detection, and body part coverage. Amazon Rekognition doesn't return summary information with a confidence than this specified value. There isn't a default value.
      
      Specify a MinConfidence value that is between 50-100% as DetectProtectiveEquipment returns predictions only where the detection confidence is between 50% - 100%. If you specify a value that is less than 50%, the results are the same specifying a value of 50%.
    - requiredEquipmentTypes
```
List<E> requiredEquipmentTypes
```
      An array of personal protective equipment types for which you want summary information. If a person is detected wearing a required requipment type, the person's ID is added to the PersonsWithRequiredEquipment array field returned in ProtectiveEquipmentSummary by DetectProtectiveEquipment.
- Class com.amazonaws.services.rekognition.model.ProtectiveEquipmentSummary extends Object implements Serializable
  - Serialized Fields
    - personsWithRequiredEquipment
```
List<E> personsWithRequiredEquipment
```
      An array of IDs for persons who are wearing detected personal protective equipment.
    - personsWithoutRequiredEquipment
```
List<E> personsWithoutRequiredEquipment
```
      An array of IDs for persons who are not wearing all of the types of PPE specified in the RequiredEquipmentTypes field of the detected personal protective equipment.
    - personsIndeterminate
```
List<E> personsIndeterminate
```
      An array of IDs for persons where it was not possible to determine if they are wearing personal protective equipment.
- Class com.amazonaws.services.rekognition.model.ProvisionedThroughputExceededException extends AmazonRekognitionException implements Serializable
  
  serialVersionUID:
  
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- Class com.amazonaws.services.rekognition.model.RecognizeCelebritiesRequest extends AmazonWebServiceRequest implements Serializable
  - Serialized Fields
    - image
```
Image image
```
      The input image as base64-encoded bytes or an S3 object. If you use the AWS CLI to call Amazon Rekognition operations, passing base64-encoded image bytes is not supported.
      
      If you are using an AWS SDK to call Amazon Rekognition, you might not need to base64-encode image bytes passed using the Bytes field. For more information, see Images in the Amazon Rekognition developer guide.
- Class com.amazonaws.services.rekognition.model.RecognizeCelebritiesResult extends AmazonWebServiceResult<ResponseMetadata> implements Serializable
  - Serialized Fields
    - celebrityFaces
```
List<E> celebrityFaces
```
      Details about each celebrity found in the image. Amazon Rekognition can detect a maximum of 64 celebrities in an image.
    - unrecognizedFaces
```
List<E> unrecognizedFaces
```
      Details about each unrecognized face in the image.
    - orientationCorrection
```
String orientationCorrection
```
      The orientation of the input image (counterclockwise direction). If your application displays the image, you can use this value to correct the orientation. The bounding box coordinates returned in CelebrityFaces and UnrecognizedFaces represent face locations before the image orientation is corrected.
      
      If the input image is in .jpeg format, it might contain exchangeable image (Exif) metadata that includes the image's orientation. If so, and the Exif metadata for the input image populates the orientation field, the value of OrientationCorrection is null. The CelebrityFaces and UnrecognizedFaces bounding box coordinates represent face locations after Exif metadata is used to correct the image orientation. Images in .png format don't contain Exif metadata.
- Class com.amazonaws.services.rekognition.model.RegionOfInterest extends Object implements Serializable
  - Serialized Fields
    - boundingBox
```
BoundingBox boundingBox
```
      The box representing a region of interest on screen.
- Class com.amazonaws.services.rekognition.model.ResourceAlreadyExistsException extends AmazonRekognitionException implements Serializable
  
  serialVersionUID:
  
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- Class com.amazonaws.services.rekognition.model.ResourceInUseException extends AmazonRekognitionException implements Serializable
  
  serialVersionUID:
  
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- Class com.amazonaws.services.rekognition.model.ResourceNotFoundException extends AmazonRekognitionException implements Serializable
  
  serialVersionUID:
  
  1L
- Class com.amazonaws.services.rekognition.model.ResourceNotReadyException extends AmazonRekognitionException implements Serializable
  
  serialVersionUID:
  
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- Class com.amazonaws.services.rekognition.model.S3Object extends Object implements Serializable
  - Serialized Fields
    - bucket
```
String bucket
```
      Name of the S3 bucket.
    - name
```
String name
```
      S3 object key name.
    - version
```
String version
```
      If the bucket is versioning enabled, you can specify the object version.
- Class com.amazonaws.services.rekognition.model.SearchFacesByImageRequest extends AmazonWebServiceRequest implements Serializable
  - Serialized Fields
    - collectionId
```
String collectionId
```
      ID of the collection to search.
    - image
```
Image image
```
      The input image as base64-encoded bytes or an S3 object. If you use the AWS CLI to call Amazon Rekognition operations, passing base64-encoded image bytes is not supported.
      
      If you are using an AWS SDK to call Amazon Rekognition, you might not need to base64-encode image bytes passed using the Bytes field. For more information, see Images in the Amazon Rekognition developer guide.
    - maxFaces
```
Integer maxFaces
```
      Maximum number of faces to return. The operation returns the maximum number of faces with the highest confidence in the match.
    - faceMatchThreshold
```
Float faceMatchThreshold
```
      (Optional) Specifies the minimum confidence in the face match to return. For example, don't return any matches where confidence in matches is less than 70%. The default value is 80%.
    - qualityFilter
```
String qualityFilter
```
      A filter that specifies a quality bar for how much filtering is done to identify faces. Filtered faces aren't searched for in the collection. If you specify AUTO, Amazon Rekognition chooses the quality bar. If you specify LOW, MEDIUM, or HIGH, filtering removes all faces that don’t meet the chosen quality bar. The quality bar is based on a variety of common use cases. Low-quality detections can occur for a number of reasons. Some examples are an object that's misidentified as a face, a face that's too blurry, or a face with a pose that's too extreme to use. If you specify NONE, no filtering is performed. The default value is NONE.
      
      To use quality filtering, the collection you are using must be associated with version 3 of the face model or higher.
- Class com.amazonaws.services.rekognition.model.SearchFacesByImageResult extends AmazonWebServiceResult<ResponseMetadata> implements Serializable
  - Serialized Fields
    - searchedFaceBoundingBox
```
BoundingBox searchedFaceBoundingBox
```
      The bounding box around the face in the input image that Amazon Rekognition used for the search.
    - searchedFaceConfidence
```
Float searchedFaceConfidence
```
      The level of confidence that the searchedFaceBoundingBox, contains a face.
    - faceMatches
```
List<E> faceMatches
```
      An array of faces that match the input face, along with the confidence in the match.
    - faceModelVersion
```
String faceModelVersion
```
      Version number of the face detection model associated with the input collection (CollectionId).
- Class com.amazonaws.services.rekognition.model.SearchFacesRequest extends AmazonWebServiceRequest implements Serializable
  - Serialized Fields
    - collectionId
```
String collectionId
```
      ID of the collection the face belongs to.
    - faceId
```
String faceId
```
      ID of a face to find matches for in the collection.
    - maxFaces
```
Integer maxFaces
```
      Maximum number of faces to return. The operation returns the maximum number of faces with the highest confidence in the match.
    - faceMatchThreshold
```
Float faceMatchThreshold
```
      Optional value specifying the minimum confidence in the face match to return. For example, don't return any matches where confidence in matches is less than 70%. The default value is 80%.
- Class com.amazonaws.services.rekognition.model.SearchFacesResult extends AmazonWebServiceResult<ResponseMetadata> implements Serializable
  - Serialized Fields
    - searchedFaceId
```
String searchedFaceId
```
      ID of the face that was searched for matches in a collection.
    - faceMatches
```
List<E> faceMatches
```
      An array of faces that matched the input face, along with the confidence in the match.
    - faceModelVersion
```
String faceModelVersion
```
      Version number of the face detection model associated with the input collection (CollectionId).
- Class com.amazonaws.services.rekognition.model.SegmentDetection extends Object implements Serializable
  - Serialized Fields
    - type
```
String type
```
      The type of the segment. Valid values are TECHNICAL_CUE and SHOT.
    - startTimestampMillis
```
Long startTimestampMillis
```
      The start time of the detected segment in milliseconds from the start of the video. This value is rounded down. For example, if the actual timestamp is 100.6667 milliseconds, Amazon Rekognition Video returns a value of 100 millis.
    - endTimestampMillis
```
Long endTimestampMillis
```
      The end time of the detected segment, in milliseconds, from the start of the video. This value is rounded down.
    - durationMillis
```
Long durationMillis
```
      The duration of the detected segment in milliseconds.
    - startTimecodeSMPTE
```
String startTimecodeSMPTE
```
      The frame-accurate SMPTE timecode, from the start of a video, for the start of a detected segment. StartTimecode is in HH:MM:SS:fr format (and ;fr for drop frame-rates).
    - endTimecodeSMPTE
```
String endTimecodeSMPTE
```
      The frame-accurate SMPTE timecode, from the start of a video, for the end of a detected segment. EndTimecode is in HH:MM:SS:fr format (and ;fr for drop frame-rates).
    - durationSMPTE
```
String durationSMPTE
```
      The duration of the timecode for the detected segment in SMPTE format.
    - technicalCueSegment
```
TechnicalCueSegment technicalCueSegment
```
      If the segment is a technical cue, contains information about the technical cue.
    - shotSegment
```
ShotSegment shotSegment
```
      If the segment is a shot detection, contains information about the shot detection.
- Class com.amazonaws.services.rekognition.model.SegmentTypeInfo extends Object implements Serializable
  - Serialized Fields
    - type
```
String type
```
      The type of a segment (technical cue or shot detection).
    - modelVersion
```
String modelVersion
```
      The version of the model used to detect segments.
- Class com.amazonaws.services.rekognition.model.ServiceQuotaExceededException extends AmazonRekognitionException implements Serializable
  
  serialVersionUID:
  
  1L
- Class com.amazonaws.services.rekognition.model.ShotSegment extends Object implements Serializable
  - Serialized Fields
    - index
```
Long index
```
      An Identifier for a shot detection segment detected in a video.
    - confidence
```
Float confidence
```
      The confidence that Amazon Rekognition Video has in the accuracy of the detected segment.
- Class com.amazonaws.services.rekognition.model.Smile extends Object implements Serializable
  - Serialized Fields
    - value
```
Boolean value
```
      Boolean value that indicates whether the face is smiling or not.
    - confidence
```
Float confidence
```
      Level of confidence in the determination.
- Class com.amazonaws.services.rekognition.model.StartCelebrityRecognitionRequest extends AmazonWebServiceRequest implements Serializable
  - Serialized Fields
    - video
```
Video video
```
      The video in which you want to recognize celebrities. The video must be stored in an Amazon S3 bucket.
    - clientRequestToken
```
String clientRequestToken
```
      Idempotent token used to identify the start request. If you use the same token with multiple StartCelebrityRecognition requests, the same JobId is returned. Use ClientRequestToken to prevent the same job from being accidently started more than once.
    - notificationChannel
```
NotificationChannel notificationChannel
```
      The Amazon SNS topic ARN that you want Amazon Rekognition Video to publish the completion status of the celebrity recognition analysis to.
    - jobTag
```
String jobTag
```
      An identifier you specify that's returned in the completion notification that's published to your Amazon Simple Notification Service topic. For example, you can use JobTag to group related jobs and identify them in the completion notification.
- Class com.amazonaws.services.rekognition.model.StartCelebrityRecognitionResult extends AmazonWebServiceResult<ResponseMetadata> implements Serializable
  - Serialized Fields
    - jobId
```
String jobId
```
      The identifier for the celebrity recognition analysis job. Use JobId to identify the job in a subsequent call to GetCelebrityRecognition.
- Class com.amazonaws.services.rekognition.model.StartContentModerationRequest extends AmazonWebServiceRequest implements Serializable
  - Serialized Fields
    - video
```
Video video
```
      The video in which you want to detect unsafe content. The video must be stored in an Amazon S3 bucket.
    - minConfidence
```
Float minConfidence
```
      Specifies the minimum confidence that Amazon Rekognition must have in order to return a moderated content label. Confidence represents how certain Amazon Rekognition is that the moderated content is correctly identified. 0 is the lowest confidence. 100 is the highest confidence. Amazon Rekognition doesn't return any moderated content labels with a confidence level lower than this specified value. If you don't specify MinConfidence, GetContentModeration returns labels with confidence values greater than or equal to 50 percent.
    - clientRequestToken
```
String clientRequestToken
```
      Idempotent token used to identify the start request. If you use the same token with multiple StartContentModeration requests, the same JobId is returned. Use ClientRequestToken to prevent the same job from being accidently started more than once.
    - notificationChannel
```
NotificationChannel notificationChannel
```
      The Amazon SNS topic ARN that you want Amazon Rekognition Video to publish the completion status of the unsafe content analysis to.
    - jobTag
```
String jobTag
```
      An identifier you specify that's returned in the completion notification that's published to your Amazon Simple Notification Service topic. For example, you can use JobTag to group related jobs and identify them in the completion notification.
- Class com.amazonaws.services.rekognition.model.StartContentModerationResult extends AmazonWebServiceResult<ResponseMetadata> implements Serializable
  - Serialized Fields
    - jobId
```
String jobId
```
      The identifier for the unsafe content analysis job. Use JobId to identify the job in a subsequent call to GetContentModeration.
- Class com.amazonaws.services.rekognition.model.StartFaceDetectionRequest extends AmazonWebServiceRequest implements Serializable
  - Serialized Fields
    - video
```
Video video
```
      The video in which you want to detect faces. The video must be stored in an Amazon S3 bucket.
    - clientRequestToken
```
String clientRequestToken
```
      Idempotent token used to identify the start request. If you use the same token with multiple StartFaceDetection requests, the same JobId is returned. Use ClientRequestToken to prevent the same job from being accidently started more than once.
    - notificationChannel
```
NotificationChannel notificationChannel
```
      The ARN of the Amazon SNS topic to which you want Amazon Rekognition Video to publish the completion status of the face detection operation.
    - faceAttributes
```
String faceAttributes
```
      The face attributes you want returned.
      
      DEFAULT - The following subset of facial attributes are returned: BoundingBox, Confidence, Pose, Quality and Landmarks.
      
      ALL - All facial attributes are returned.
    - jobTag
```
String jobTag
```
      An identifier you specify that's returned in the completion notification that's published to your Amazon Simple Notification Service topic. For example, you can use JobTag to group related jobs and identify them in the completion notification.
- Class com.amazonaws.services.rekognition.model.StartFaceDetectionResult extends AmazonWebServiceResult<ResponseMetadata> implements Serializable
  - Serialized Fields
    - jobId
```
String jobId
```
      The identifier for the face detection job. Use JobId to identify the job in a subsequent call to GetFaceDetection.
- Class com.amazonaws.services.rekognition.model.StartFaceSearchRequest extends AmazonWebServiceRequest implements Serializable
  - Serialized Fields
    - video
```
Video video
```
      The video you want to search. The video must be stored in an Amazon S3 bucket.
    - clientRequestToken
```
String clientRequestToken
```
      Idempotent token used to identify the start request. If you use the same token with multiple StartFaceSearch requests, the same JobId is returned. Use ClientRequestToken to prevent the same job from being accidently started more than once.
    - faceMatchThreshold
```
Float faceMatchThreshold
```
      The minimum confidence in the person match to return. For example, don't return any matches where confidence in matches is less than 70%. The default value is 80%.
    - collectionId
```
String collectionId
```
      ID of the collection that contains the faces you want to search for.
    - notificationChannel
```
NotificationChannel notificationChannel
```
      The ARN of the Amazon SNS topic to which you want Amazon Rekognition Video to publish the completion status of the search.
    - jobTag
```
String jobTag
```
      An identifier you specify that's returned in the completion notification that's published to your Amazon Simple Notification Service topic. For example, you can use JobTag to group related jobs and identify them in the completion notification.
- Class com.amazonaws.services.rekognition.model.StartFaceSearchResult extends AmazonWebServiceResult<ResponseMetadata> implements Serializable
  - Serialized Fields
    - jobId
```
String jobId
```
      The identifier for the search job. Use JobId to identify the job in a subsequent call to GetFaceSearch.
- Class com.amazonaws.services.rekognition.model.StartLabelDetectionRequest extends AmazonWebServiceRequest implements Serializable
  - Serialized Fields
    - video
```
Video video
```
      The video in which you want to detect labels. The video must be stored in an Amazon S3 bucket.
    - clientRequestToken
```
String clientRequestToken
```
      Idempotent token used to identify the start request. If you use the same token with multiple StartLabelDetection requests, the same JobId is returned. Use ClientRequestToken to prevent the same job from being accidently started more than once.
    - minConfidence
```
Float minConfidence
```
      Specifies the minimum confidence that Amazon Rekognition Video must have in order to return a detected label. Confidence represents how certain Amazon Rekognition is that a label is correctly identified.0 is the lowest confidence. 100 is the highest confidence. Amazon Rekognition Video doesn't return any labels with a confidence level lower than this specified value.
      
      If you don't specify MinConfidence, the operation returns labels with confidence values greater than or equal to 50 percent.
    - notificationChannel
```
NotificationChannel notificationChannel
```
      The Amazon SNS topic ARN you want Amazon Rekognition Video to publish the completion status of the label detection operation to.
    - jobTag
```
String jobTag
```
      An identifier you specify that's returned in the completion notification that's published to your Amazon Simple Notification Service topic. For example, you can use JobTag to group related jobs and identify them in the completion notification.
- Class com.amazonaws.services.rekognition.model.StartLabelDetectionResult extends AmazonWebServiceResult<ResponseMetadata> implements Serializable
  - Serialized Fields
    - jobId
```
String jobId
```
      The identifier for the label detection job. Use JobId to identify the job in a subsequent call to GetLabelDetection.
- Class com.amazonaws.services.rekognition.model.StartPersonTrackingRequest extends AmazonWebServiceRequest implements Serializable
  - Serialized Fields
    - video
```
Video video
```
      The video in which you want to detect people. The video must be stored in an Amazon S3 bucket.
    - clientRequestToken
```
String clientRequestToken
```
      Idempotent token used to identify the start request. If you use the same token with multiple StartPersonTracking requests, the same JobId is returned. Use ClientRequestToken to prevent the same job from being accidently started more than once.
    - notificationChannel
```
NotificationChannel notificationChannel
```
      The Amazon SNS topic ARN you want Amazon Rekognition Video to publish the completion status of the people detection operation to.
    - jobTag
```
String jobTag
```
      An identifier you specify that's returned in the completion notification that's published to your Amazon Simple Notification Service topic. For example, you can use JobTag to group related jobs and identify them in the completion notification.
- Class com.amazonaws.services.rekognition.model.StartPersonTrackingResult extends AmazonWebServiceResult<ResponseMetadata> implements Serializable
  - Serialized Fields
    - jobId
```
String jobId
```
      The identifier for the person detection job. Use JobId to identify the job in a subsequent call to GetPersonTracking.
- Class com.amazonaws.services.rekognition.model.StartProjectVersionRequest extends AmazonWebServiceRequest implements Serializable
  - Serialized Fields
    - projectVersionArn
```
String projectVersionArn
```
      The Amazon Resource Name(ARN) of the model version that you want to start.
    - minInferenceUnits
```
Integer minInferenceUnits
```
      The minimum number of inference units to use. A single inference unit represents 1 hour of processing and can support up to 5 Transaction Pers Second (TPS). Use a higher number to increase the TPS throughput of your model. You are charged for the number of inference units that you use.
- Class com.amazonaws.services.rekognition.model.StartProjectVersionResult extends AmazonWebServiceResult<ResponseMetadata> implements Serializable
  - Serialized Fields
    - status
```
String status
```
      The current running status of the model.
- Class com.amazonaws.services.rekognition.model.StartSegmentDetectionFilters extends Object implements Serializable
  - Serialized Fields
    - technicalCueFilter
```
StartTechnicalCueDetectionFilter technicalCueFilter
```
      Filters that are specific to technical cues.
    - shotFilter
```
StartShotDetectionFilter shotFilter
```
      Filters that are specific to shot detections.
- Class com.amazonaws.services.rekognition.model.StartSegmentDetectionRequest extends AmazonWebServiceRequest implements Serializable
  - Serialized Fields
    - video
```
Video video
```
    - clientRequestToken
```
String clientRequestToken
```
      Idempotent token used to identify the start request. If you use the same token with multiple StartSegmentDetection requests, the same JobId is returned. Use ClientRequestToken to prevent the same job from being accidently started more than once.
    - notificationChannel
```
NotificationChannel notificationChannel
```
      The ARN of the Amazon SNS topic to which you want Amazon Rekognition Video to publish the completion status of the segment detection operation.
    - jobTag
```
String jobTag
```
      An identifier you specify that's returned in the completion notification that's published to your Amazon Simple Notification Service topic. For example, you can use JobTag to group related jobs and identify them in the completion notification.
    - filters
```
StartSegmentDetectionFilters filters
```
      Filters for technical cue or shot detection.
    - segmentTypes
```
List<E> segmentTypes
```
      An array of segment types to detect in the video. Valid values are TECHNICAL_CUE and SHOT.
- Class com.amazonaws.services.rekognition.model.StartSegmentDetectionResult extends AmazonWebServiceResult<ResponseMetadata> implements Serializable
  - Serialized Fields
    - jobId
```
String jobId
```
      Unique identifier for the segment detection job. The JobId is returned from StartSegmentDetection.
- Class com.amazonaws.services.rekognition.model.StartShotDetectionFilter extends Object implements Serializable
  - Serialized Fields
    - minSegmentConfidence
```
Float minSegmentConfidence
```
      Specifies the minimum confidence that Amazon Rekognition Video must have in order to return a detected segment. Confidence represents how certain Amazon Rekognition is that a segment is correctly identified. 0 is the lowest confidence. 100 is the highest confidence. Amazon Rekognition Video doesn't return any segments with a confidence level lower than this specified value.
      
      If you don't specify MinSegmentConfidence, the GetSegmentDetection returns segments with confidence values greater than or equal to 50 percent.
- Class com.amazonaws.services.rekognition.model.StartStreamProcessorRequest extends AmazonWebServiceRequest implements Serializable
  - Serialized Fields
    - name
```
String name
```
      The name of the stream processor to start processing.
- Class com.amazonaws.services.rekognition.model.StartStreamProcessorResult extends AmazonWebServiceResult<ResponseMetadata> implements Serializable
- Class com.amazonaws.services.rekognition.model.StartTechnicalCueDetectionFilter extends Object implements Serializable
  - Serialized Fields
    - minSegmentConfidence
```
Float minSegmentConfidence
```
      Specifies the minimum confidence that Amazon Rekognition Video must have in order to return a detected segment. Confidence represents how certain Amazon Rekognition is that a segment is correctly identified. 0 is the lowest confidence. 100 is the highest confidence. Amazon Rekognition Video doesn't return any segments with a confidence level lower than this specified value.
      
      If you don't specify MinSegmentConfidence, GetSegmentDetection returns segments with confidence values greater than or equal to 50 percent.
- Class com.amazonaws.services.rekognition.model.StartTextDetectionFilters extends Object implements Serializable
  - Serialized Fields
    - wordFilter
```
DetectionFilter wordFilter
```
      Filters focusing on qualities of the text, such as confidence or size.
    - regionsOfInterest
```
List<E> regionsOfInterest
```
      Filter focusing on a certain area of the frame. Uses a BoundingBox object to set the region of the screen.
- Class com.amazonaws.services.rekognition.model.StartTextDetectionRequest extends AmazonWebServiceRequest implements Serializable
  - Serialized Fields
    - video
```
Video video
```
    - clientRequestToken
```
String clientRequestToken
```
      Idempotent token used to identify the start request. If you use the same token with multiple StartTextDetection requests, the same JobId is returned. Use ClientRequestToken to prevent the same job from being accidentaly started more than once.
    - notificationChannel
```
NotificationChannel notificationChannel
```
    - jobTag
```
String jobTag
```
      An identifier returned in the completion status published by your Amazon Simple Notification Service topic. For example, you can use JobTag to group related jobs and identify them in the completion notification.
    - filters
```
StartTextDetectionFilters filters
```
      Optional parameters that let you set criteria the text must meet to be included in your response.
- Class com.amazonaws.services.rekognition.model.StartTextDetectionResult extends AmazonWebServiceResult<ResponseMetadata> implements Serializable
  - Serialized Fields
    - jobId
```
String jobId
```
      Identifier for the text detection job. Use JobId to identify the job in a subsequent call to GetTextDetection.
- Class com.amazonaws.services.rekognition.model.StopProjectVersionRequest extends AmazonWebServiceRequest implements Serializable
  - Serialized Fields
    - projectVersionArn
```
String projectVersionArn
```
      The Amazon Resource Name (ARN) of the model version that you want to delete.
      
      This operation requires permissions to perform the rekognition:StopProjectVersion action.
- Class com.amazonaws.services.rekognition.model.StopProjectVersionResult extends AmazonWebServiceResult<ResponseMetadata> implements Serializable
  - Serialized Fields
    - status
```
String status
```
      The current status of the stop operation.
- Class com.amazonaws.services.rekognition.model.StopStreamProcessorRequest extends AmazonWebServiceRequest implements Serializable
  - Serialized Fields
    - name
```
String name
```
      The name of a stream processor created by CreateStreamProcessor.
- Class com.amazonaws.services.rekognition.model.StopStreamProcessorResult extends AmazonWebServiceResult<ResponseMetadata> implements Serializable
- Class com.amazonaws.services.rekognition.model.StreamProcessor extends Object implements Serializable
  - Serialized Fields
    - name
```
String name
```
      Name of the Amazon Rekognition stream processor.
    - status
```
String status
```
      Current status of the Amazon Rekognition stream processor.
- Class com.amazonaws.services.rekognition.model.StreamProcessorInput extends Object implements Serializable
  - Serialized Fields
    - kinesisVideoStream
```
KinesisVideoStream kinesisVideoStream
```
      The Kinesis video stream input stream for the source streaming video.
- Class com.amazonaws.services.rekognition.model.StreamProcessorOutput extends Object implements Serializable
  - Serialized Fields
    - kinesisDataStream
```
KinesisDataStream kinesisDataStream
```
      The Amazon Kinesis Data Streams stream to which the Amazon Rekognition stream processor streams the analysis results.
- Class com.amazonaws.services.rekognition.model.StreamProcessorSettings extends Object implements Serializable
  - Serialized Fields
    - faceSearch
```
FaceSearchSettings faceSearch
```
      Face search settings to use on a streaming video.
- Class com.amazonaws.services.rekognition.model.Summary extends Object implements Serializable
  - Serialized Fields
    - s3Object
```
S3Object s3Object
```
- Class com.amazonaws.services.rekognition.model.Sunglasses extends Object implements Serializable
  - Serialized Fields
    - value
```
Boolean value
```
      Boolean value that indicates whether the face is wearing sunglasses or not.
    - confidence
```
Float confidence
```
      Level of confidence in the determination.
- Class com.amazonaws.services.rekognition.model.TagResourceRequest extends AmazonWebServiceRequest implements Serializable
  - Serialized Fields
    - resourceArn
```
String resourceArn
```
      Amazon Resource Name (ARN) of the model, collection, or stream processor that you want to assign the tags to.
    - tags
```
Map<K,V> tags
```
      The key-value tags to assign to the resource.
- Class com.amazonaws.services.rekognition.model.TagResourceResult extends AmazonWebServiceResult<ResponseMetadata> implements Serializable
- Class com.amazonaws.services.rekognition.model.TechnicalCueSegment extends Object implements Serializable
  - Serialized Fields
    - type
```
String type
```
      The type of the technical cue.
    - confidence
```
Float confidence
```
      The confidence that Amazon Rekognition Video has in the accuracy of the detected segment.
- Class com.amazonaws.services.rekognition.model.TestingData extends Object implements Serializable
  - Serialized Fields
    - assets
```
List<E> assets
```
      The assets used for testing.
    - autoCreate
```
Boolean autoCreate
```
      If specified, Amazon Rekognition Custom Labels creates a testing dataset with an 80/20 split of the training dataset.
- Class com.amazonaws.services.rekognition.model.TestingDataResult extends Object implements Serializable
  - Serialized Fields
    - input
```
TestingData input
```
      The testing dataset that was supplied for training.
    - output
```
TestingData output
```
      The subset of the dataset that was actually tested. Some images (assets) might not be tested due to file formatting and other issues.
    - validation
```
ValidationData validation
```
      The location of the data validation manifest. The data validation manifest is created for the test dataset during model training.
- Class com.amazonaws.services.rekognition.model.TextDetection extends Object implements Serializable
  - Serialized Fields
    - detectedText
```
String detectedText
```
      The word or line of text recognized by Amazon Rekognition.
    - type
```
String type
```
      The type of text that was detected.
    - id
```
Integer id
```
      The identifier for the detected text. The identifier is only unique for a single call to DetectText.
    - parentId
```
Integer parentId
```
      The Parent identifier for the detected text identified by the value of ID. If the type of detected text is LINE, the value of ParentId is Null.
    - confidence
```
Float confidence
```
      The confidence that Amazon Rekognition has in the accuracy of the detected text and the accuracy of the geometry points around the detected text.
    - geometry
```
Geometry geometry
```
      The location of the detected text on the image. Includes an axis aligned coarse bounding box surrounding the text and a finer grain polygon for more accurate spatial information.
- Class com.amazonaws.services.rekognition.model.TextDetectionResult extends Object implements Serializable
  - Serialized Fields
    - timestamp
```
Long timestamp
```
      The time, in milliseconds from the start of the video, that the text was detected.
    - textDetection
```
TextDetection textDetection
```
      Details about text detected in a video.
- Class com.amazonaws.services.rekognition.model.ThrottlingException extends AmazonRekognitionException implements Serializable
  
  serialVersionUID:
  
  1L
- Class com.amazonaws.services.rekognition.model.TrainingData extends Object implements Serializable
  - Serialized Fields
    - assets
```
List<E> assets
```
      A Sagemaker GroundTruth manifest file that contains the training images (assets).
- Class com.amazonaws.services.rekognition.model.TrainingDataResult extends Object implements Serializable
  - Serialized Fields
    - input
```
TrainingData input
```
      The training assets that you supplied for training.
    - output
```
TrainingData output
```
      The images (assets) that were actually trained by Amazon Rekognition Custom Labels.
    - validation
```
ValidationData validation
```
      The location of the data validation manifest. The data validation manifest is created for the training dataset during model training.
- Class com.amazonaws.services.rekognition.model.UnindexedFace extends Object implements Serializable
  - Serialized Fields
    - reasons
```
List<E> reasons
```
      An array of reasons that specify why a face wasn't indexed.
      
      EXTREME_POSE - The face is at a pose that can't be detected. For example, the head is turned too far away from the camera.
      
      EXCEEDS_MAX_FACES - The number of faces detected is already higher than that specified by the MaxFaces input parameter for IndexFaces.
      
      LOW_BRIGHTNESS - The image is too dark.
      
      LOW_SHARPNESS - The image is too blurry.
      
      LOW_CONFIDENCE - The face was detected with a low confidence.
      
      SMALL_BOUNDING_BOX - The bounding box around the face is too small.
    - faceDetail
```
FaceDetail faceDetail
```
      The structure that contains attributes of a face that IndexFacesdetected, but didn't index.
- Class com.amazonaws.services.rekognition.model.UntagResourceRequest extends AmazonWebServiceRequest implements Serializable
  - Serialized Fields
    - resourceArn
```
String resourceArn
```
      Amazon Resource Name (ARN) of the model, collection, or stream processor that you want to remove the tags from.
    - tagKeys
```
List<E> tagKeys
```
      A list of the tags that you want to remove.
- Class com.amazonaws.services.rekognition.model.UntagResourceResult extends AmazonWebServiceResult<ResponseMetadata> implements Serializable
- Class com.amazonaws.services.rekognition.model.ValidationData extends Object implements Serializable
  - Serialized Fields
    - assets
```
List<E> assets
```
      The assets that comprise the validation data.
- Class com.amazonaws.services.rekognition.model.Video extends Object implements Serializable
  - Serialized Fields
    - s3Object
```
S3Object s3Object
```
      The Amazon S3 bucket name and file name for the video.
- Class com.amazonaws.services.rekognition.model.VideoMetadata extends Object implements Serializable
  - Serialized Fields
    - codec
```
String codec
```
      Type of compression used in the analyzed video.
    - durationMillis
```
Long durationMillis
```
      Length of the video in milliseconds.
    - format
```
String format
```
      Format of the analyzed video. Possible values are MP4, MOV and AVI.
    - frameRate
```
Float frameRate
```
      Number of frames per second in the video.
    - frameHeight
```
Long frameHeight
```
      Vertical pixel dimension of the video.
    - frameWidth
```
Long frameWidth
```
      Horizontal pixel dimension of the video.
- Class com.amazonaws.services.rekognition.model.VideoTooLargeException extends AmazonRekognitionException implements Serializable
  
  serialVersionUID:
  
  1L

Serialized Form

Package com.amazonaws.services.rekognition.model

Class com.amazonaws.services.rekognition.model.AccessDeniedException extends AmazonRekognitionException implements Serializable

Class com.amazonaws.services.rekognition.model.AgeRange extends Object implements Serializable

Serialized Fields

low

high

Class com.amazonaws.services.rekognition.model.AmazonRekognitionException extends AmazonServiceException implements Serializable

Class com.amazonaws.services.rekognition.model.Asset extends Object implements Serializable

Serialized Fields

groundTruthManifest

Class com.amazonaws.services.rekognition.model.AudioMetadata extends Object implements Serializable

Serialized Fields

codec

durationMillis

sampleRate

numberOfChannels

Class com.amazonaws.services.rekognition.model.Beard extends Object implements Serializable

Serialized Fields

value

confidence

Class com.amazonaws.services.rekognition.model.BoundingBox extends Object implements Serializable

Serialized Fields

width

height

left

top

Class com.amazonaws.services.rekognition.model.Celebrity extends Object implements Serializable

Serialized Fields

urls

name

id

face

matchConfidence

Class com.amazonaws.services.rekognition.model.CelebrityDetail extends Object implements Serializable

Serialized Fields

urls

name

id

confidence

boundingBox

face

Class com.amazonaws.services.rekognition.model.CelebrityRecognition extends Object implements Serializable

Serialized Fields

timestamp

celebrity

Class com.amazonaws.services.rekognition.model.ComparedFace extends Object implements Serializable

Serialized Fields

boundingBox

confidence

landmarks

pose

quality

Class com.amazonaws.services.rekognition.model.ComparedSourceImageFace extends Object implements Serializable

Serialized Fields

boundingBox

confidence

Class com.amazonaws.services.rekognition.model.CompareFacesMatch extends Object implements Serializable

Serialized Fields

similarity

face

Class com.amazonaws.services.rekognition.model.CompareFacesRequest extends AmazonWebServiceRequest implements Serializable

Serialized Fields

sourceImage

targetImage

similarityThreshold

qualityFilter

Class com.amazonaws.services.rekognition.model.CompareFacesResult extends AmazonWebServiceResult<ResponseMetadata> implements Serializable

Serialized Fields

sourceImageFace

faceMatches

unmatchedFaces

sourceImageOrientationCorrection

targetImageOrientationCorrection

Class com.amazonaws.services.rekognition.model.ContentModerationDetection extends Object implements Serializable

Serialized Fields

timestamp

moderationLabel

Class com.amazonaws.services.rekognition.model.CoversBodyPart extends Object implements Serializable

Serialized Fields