| Class | Description |
|---|---|
| AgeRange |
Structure containing the estimated age range, in years, for a face.
|
| Asset |
Assets are the images that you use to train and evaluate a model version.
|
| AudioMetadata |
Metadata information about an audio stream.
|
| Beard |
Indicates whether or not the face has a beard, and the confidence level in the determination.
|
| BoundingBox |
Identifies the bounding box around the label, face, text or personal protective equipment.
|
| Celebrity |
Provides information about a celebrity recognized by the RecognizeCelebrities operation.
|
| CelebrityDetail |
Information about a recognized celebrity.
|
| CelebrityRecognition |
Information about a detected celebrity and the time the celebrity was detected in a stored video.
|
| ComparedFace |
Provides face metadata for target image faces that are analyzed by
CompareFaces and
RecognizeCelebrities. |
| ComparedSourceImageFace |
Type that describes the face Amazon Rekognition chose to compare with the faces in the target.
|
| CompareFacesMatch |
Provides information about a face in a target image that matches the source image face analyzed by
CompareFaces. |
| CompareFacesRequest | |
| CompareFacesResult | |
| ContentModerationDetection |
Information about an unsafe content label detection in a stored video.
|
| CoversBodyPart |
Information about an item of Personal Protective Equipment covering a corresponding body part.
|
| CreateCollectionRequest | |
| CreateCollectionResult | |
| CreateProjectRequest | |
| CreateProjectResult | |
| CreateProjectVersionRequest | |
| CreateProjectVersionResult | |
| CreateStreamProcessorRequest | |
| CreateStreamProcessorResult | |
| CustomLabel |
A custom label detected in an image by a call to DetectCustomLabels.
|
| DeleteCollectionRequest | |
| DeleteCollectionResult | |
| DeleteFacesRequest | |
| DeleteFacesResult | |
| DeleteProjectRequest | |
| DeleteProjectResult | |
| DeleteProjectVersionRequest | |
| DeleteProjectVersionResult | |
| DeleteStreamProcessorRequest | |
| DeleteStreamProcessorResult | |
| DescribeCollectionRequest | |
| DescribeCollectionResult | |
| DescribeProjectsRequest | |
| DescribeProjectsResult | |
| DescribeProjectVersionsRequest | |
| DescribeProjectVersionsResult | |
| DescribeStreamProcessorRequest | |
| DescribeStreamProcessorResult | |
| DetectCustomLabelsRequest | |
| DetectCustomLabelsResult | |
| DetectFacesRequest | |
| DetectFacesResult | |
| DetectionFilter |
A set of parameters that allow you to filter out certain results from your returned results.
|
| DetectLabelsRequest | |
| DetectLabelsResult | |
| DetectModerationLabelsRequest | |
| DetectModerationLabelsResult | |
| DetectProtectiveEquipmentRequest | |
| DetectProtectiveEquipmentResult | |
| DetectTextFilters |
A set of optional parameters that you can use to set the criteria that the text must meet to be included in your
response.
|
| DetectTextRequest | |
| DetectTextResult | |
| Emotion |
The emotions that appear to be expressed on the face, and the confidence level in the determination.
|
| EquipmentDetection |
Information about an item of Personal Protective Equipment (PPE) detected by DetectProtectiveEquipment.
|
| EvaluationResult |
The evaluation results for the training of a model.
|
| Eyeglasses |
Indicates whether or not the face is wearing eye glasses, and the confidence level in the determination.
|
| EyeOpen |
Indicates whether or not the eyes on the face are open, and the confidence level in the determination.
|
| 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 |
Structure containing attributes of the face that the algorithm detected.
|
| FaceDetection |
Information about a face detected in a video analysis request and the time the face was detected in the video.
|
| FaceMatch |
Provides face metadata.
|
| FaceRecord |
Object containing both the face metadata (stored in the backend database), and facial attributes that are detected
but aren't stored in the database.
|
| FaceSearchSettings |
Input face recognition parameters for an Amazon Rekognition stream processor.
|
| Gender |
The predicted gender of a detected face.
|
| Geometry |
Information about where an object (DetectCustomLabels) or text (DetectText) is located on an image.
|
| GetCelebrityInfoRequest | |
| GetCelebrityInfoResult | |
| GetCelebrityRecognitionRequest | |
| GetCelebrityRecognitionResult | |
| GetContentModerationRequest | |
| GetContentModerationResult | |
| GetFaceDetectionRequest | |
| GetFaceDetectionResult | |
| GetFaceSearchRequest | |
| GetFaceSearchResult | |
| GetLabelDetectionRequest | |
| GetLabelDetectionResult | |
| GetPersonTrackingRequest | |
| GetPersonTrackingResult | |
| GetSegmentDetectionRequest | |
| GetSegmentDetectionResult | |
| GetTextDetectionRequest | |
| GetTextDetectionResult | |
| GroundTruthManifest |
The S3 bucket that contains an Amazon Sagemaker Ground Truth format manifest file.
|
| HumanLoopActivationOutput |
Shows the results of the human in the loop evaluation.
|
| HumanLoopConfig |
Sets up the flow definition the image will be sent to if one of the conditions is met.
|
| HumanLoopDataAttributes |
Allows you to set attributes of the image.
|
| Image |
Provides the input image either as bytes or an S3 object.
|
| ImageQuality |
Identifies face image brightness and sharpness.
|
| IndexFacesRequest | |
| IndexFacesResult | |
| Instance |
An instance of a label returned by Amazon Rekognition Image (DetectLabels) or by Amazon Rekognition Video
(GetLabelDetection).
|
| KinesisDataStream |
The Kinesis data stream Amazon Rekognition to which the analysis results of a Amazon Rekognition stream processor are
streamed.
|
| KinesisVideoStream |
Kinesis video stream stream that provides the source streaming video for a Amazon Rekognition Video stream processor.
|
| Label |
Structure containing details about the detected label, including the name, detected instances, parent labels, and
level of confidence.
|
| LabelDetection |
Information about a label detected in a video analysis request and the time the label was detected in the video.
|
| Landmark |
Indicates the location of the landmark on the face.
|
| ListCollectionsRequest | |
| ListCollectionsResult | |
| ListFacesRequest | |
| ListFacesResult | |
| ListStreamProcessorsRequest | |
| ListStreamProcessorsResult | |
| ModerationLabel |
Provides information about a single type of unsafe content found in an image or video.
|
| MouthOpen |
Indicates whether or not the mouth on the face is open, and the confidence level in the determination.
|
| Mustache |
Indicates whether or not the face has a mustache, and the confidence level in the determination.
|
| NotificationChannel |
The Amazon Simple Notification Service topic to which Amazon Rekognition publishes the completion status of a video
analysis operation.
|
| OutputConfig |
The S3 bucket and folder location where training output is placed.
|
| Parent |
A parent label for a label.
|
| PersonDetail |
Details about a person detected in a video analysis request.
|
| PersonDetection |
Details and path tracking information for a single time a person's path is tracked in a video.
|
| PersonMatch |
Information about a person whose face matches a face(s) in an Amazon Rekognition collection.
|
| Point |
The X and Y coordinates of a point on an image.
|
| Pose |
Indicates the pose of the face as determined by its pitch, roll, and yaw.
|
| ProjectDescription |
A description of a Amazon Rekognition Custom Labels project.
|
| ProjectVersionDescription |
The description of a version of a model.
|
| ProtectiveEquipmentBodyPart |
Information about a body part detected by DetectProtectiveEquipment that contains PPE.
|
| ProtectiveEquipmentPerson |
A person detected by a call to DetectProtectiveEquipment.
|
| ProtectiveEquipmentSummarizationAttributes |
Specifies summary attributes to return from a call to DetectProtectiveEquipment.
|
| ProtectiveEquipmentSummary |
Summary information for required items of personal protective equipment (PPE) detected on persons by a call to
DetectProtectiveEquipment.
|
| RecognizeCelebritiesRequest | |
| RecognizeCelebritiesResult | |
| RegionOfInterest |
Specifies a location within the frame that Rekognition checks for text.
|
| S3Object |
Provides the S3 bucket name and object name.
|
| SearchFacesByImageRequest | |
| SearchFacesByImageResult | |
| SearchFacesRequest | |
| SearchFacesResult | |
| SegmentDetection |
A technical cue or shot detection segment detected in a video.
|
| SegmentTypeInfo |
Information about the type of a segment requested in a call to StartSegmentDetection.
|
| ShotSegment |
Information about a shot detection segment detected in a video.
|
| Smile |
Indicates whether or not the face is smiling, and the confidence level in the determination.
|
| StartCelebrityRecognitionRequest | |
| StartCelebrityRecognitionResult | |
| StartContentModerationRequest | |
| StartContentModerationResult | |
| StartFaceDetectionRequest | |
| StartFaceDetectionResult | |
| StartFaceSearchRequest | |
| StartFaceSearchResult | |
| StartLabelDetectionRequest | |
| StartLabelDetectionResult | |
| StartPersonTrackingRequest | |
| StartPersonTrackingResult | |
| StartProjectVersionRequest | |
| StartProjectVersionResult | |
| StartSegmentDetectionFilters |
Filters applied to the technical cue or shot detection segments.
|
| StartSegmentDetectionRequest | |
| StartSegmentDetectionResult | |
| StartShotDetectionFilter |
Filters for the shot detection segments returned by
GetSegmentDetection. |
| StartStreamProcessorRequest | |
| StartStreamProcessorResult | |
| StartTechnicalCueDetectionFilter |
Filters for the technical segments returned by GetSegmentDetection.
|
| StartTextDetectionFilters |
Set of optional parameters that let you set the criteria text must meet to be included in your response.
|
| StartTextDetectionRequest | |
| StartTextDetectionResult | |
| StopProjectVersionRequest | |
| StopProjectVersionResult | |
| StopStreamProcessorRequest | |
| StopStreamProcessorResult | |
| StreamProcessor |
An object that recognizes faces in a streaming video.
|
| StreamProcessorInput |
Information about the source streaming video.
|
| StreamProcessorOutput |
Information about the Amazon Kinesis Data Streams stream to which a Amazon Rekognition Video stream processor streams
the results of a video analysis.
|
| StreamProcessorSettings |
Input parameters used to recognize faces in a streaming video analyzed by a Amazon Rekognition stream processor.
|
| Summary |
The S3 bucket that contains the training summary.
|
| Sunglasses |
Indicates whether or not the face is wearing sunglasses, and the confidence level in the determination.
|
| TechnicalCueSegment |
Information about a technical cue segment.
|
| TestingData |
The dataset used for testing.
|
| TestingDataResult |
Sagemaker Groundtruth format manifest files for the input, output and validation datasets that are used and created
during testing.
|
| TextDetection |
Information about a word or line of text detected by DetectText.
|
| TextDetectionResult |
Information about text detected in a video.
|
| TrainingData |
The dataset used for training.
|
| TrainingDataResult |
Sagemaker Groundtruth format manifest files for the input, output and validation datasets that are used and created
during testing.
|
| UnindexedFace |
A face that IndexFaces detected, but didn't index.
|
| ValidationData |
Contains the Amazon S3 bucket location of the validation data for a model training job.
|
| Video |
Video file stored in an Amazon S3 bucket.
|
| VideoMetadata |
Information about a video that Amazon Rekognition analyzed.
|
| Exception | Description |
|---|---|
| AccessDeniedException |
You are not authorized to perform the action.
|
| AmazonRekognitionException |
Base exception for all service exceptions thrown by Amazon Rekognition
|
| HumanLoopQuotaExceededException |
The number of in-progress human reviews you have has exceeded the number allowed.
|
| IdempotentParameterMismatchException |
A
ClientRequestToken input parameter was reused with an operation, but at least one of the other input
parameters is different from the previous call to the operation. |
| ImageTooLargeException |
The input image size exceeds the allowed limit.
|
| InternalServerErrorException |
Amazon Rekognition experienced a service issue.
|
| InvalidImageFormatException |
The provided image format is not supported.
|
| InvalidPaginationTokenException |
Pagination token in the request is not valid.
|
| InvalidParameterException |
Input parameter violated a constraint.
|
| InvalidS3ObjectException |
Amazon Rekognition is unable to access the S3 object specified in the request.
|
| LimitExceededException |
An Amazon Rekognition service limit was exceeded.
|
| ProvisionedThroughputExceededException |
The number of requests exceeded your throughput limit.
|
| ResourceAlreadyExistsException |
A collection with the specified ID already exists.
|
| ResourceInUseException |
The specified resource is already being used.
|
| ResourceNotFoundException |
The collection specified in the request cannot be found.
|
| ResourceNotReadyException |
The requested resource isn't ready.
|
| ServiceQuotaExceededException |
|
| ThrottlingException |
Amazon Rekognition is temporarily unable to process the request.
|
| VideoTooLargeException |
The file size or duration of the supplied media is too large.
|
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