public interface ImageObjectDetectionEvaluationMetricsOrBuilder
extends com.google.protobuf.MessageOrBuilder
| Modifier and Type | Method and Description |
|---|---|
float |
getBoundingBoxMeanAveragePrecision()
Output only.
|
BoundingBoxMetricsEntry |
getBoundingBoxMetricsEntries(int index)
Output only.
|
int |
getBoundingBoxMetricsEntriesCount()
Output only.
|
List<BoundingBoxMetricsEntry> |
getBoundingBoxMetricsEntriesList()
Output only.
|
BoundingBoxMetricsEntryOrBuilder |
getBoundingBoxMetricsEntriesOrBuilder(int index)
Output only.
|
List<? extends BoundingBoxMetricsEntryOrBuilder> |
getBoundingBoxMetricsEntriesOrBuilderList()
Output only.
|
int |
getEvaluatedBoundingBoxCount()
Output only.
|
findInitializationErrors, getAllFields, getDefaultInstanceForType, getDescriptorForType, getField, getInitializationErrorString, getOneofFieldDescriptor, getRepeatedField, getRepeatedFieldCount, getUnknownFields, hasField, hasOneofint getEvaluatedBoundingBoxCount()
Output only. The total number of bounding boxes (i.e. summed over all images) the ground truth used to create this evaluation had.
int32 evaluated_bounding_box_count = 1;List<BoundingBoxMetricsEntry> getBoundingBoxMetricsEntriesList()
Output only. The bounding boxes match metrics for each Intersection-over-union threshold 0.05,0.10,...,0.95,0.96,0.97,0.98,0.99 and each label confidence threshold 0.05,0.10,...,0.95,0.96,0.97,0.98,0.99 pair.
repeated .google.cloud.automl.v1.BoundingBoxMetricsEntry bounding_box_metrics_entries = 2;
BoundingBoxMetricsEntry getBoundingBoxMetricsEntries(int index)
Output only. The bounding boxes match metrics for each Intersection-over-union threshold 0.05,0.10,...,0.95,0.96,0.97,0.98,0.99 and each label confidence threshold 0.05,0.10,...,0.95,0.96,0.97,0.98,0.99 pair.
repeated .google.cloud.automl.v1.BoundingBoxMetricsEntry bounding_box_metrics_entries = 2;
int getBoundingBoxMetricsEntriesCount()
Output only. The bounding boxes match metrics for each Intersection-over-union threshold 0.05,0.10,...,0.95,0.96,0.97,0.98,0.99 and each label confidence threshold 0.05,0.10,...,0.95,0.96,0.97,0.98,0.99 pair.
repeated .google.cloud.automl.v1.BoundingBoxMetricsEntry bounding_box_metrics_entries = 2;
List<? extends BoundingBoxMetricsEntryOrBuilder> getBoundingBoxMetricsEntriesOrBuilderList()
Output only. The bounding boxes match metrics for each Intersection-over-union threshold 0.05,0.10,...,0.95,0.96,0.97,0.98,0.99 and each label confidence threshold 0.05,0.10,...,0.95,0.96,0.97,0.98,0.99 pair.
repeated .google.cloud.automl.v1.BoundingBoxMetricsEntry bounding_box_metrics_entries = 2;
BoundingBoxMetricsEntryOrBuilder getBoundingBoxMetricsEntriesOrBuilder(int index)
Output only. The bounding boxes match metrics for each Intersection-over-union threshold 0.05,0.10,...,0.95,0.96,0.97,0.98,0.99 and each label confidence threshold 0.05,0.10,...,0.95,0.96,0.97,0.98,0.99 pair.
repeated .google.cloud.automl.v1.BoundingBoxMetricsEntry bounding_box_metrics_entries = 2;
float getBoundingBoxMeanAveragePrecision()
Output only. The single metric for bounding boxes evaluation: the mean_average_precision averaged over all bounding_box_metrics_entries.
float bounding_box_mean_average_precision = 3;Copyright © 2025 Google LLC. All rights reserved.