- 2.51.0 (latest)
- 2.49.0
- 2.48.0
- 2.47.0
- 2.46.0
- 2.45.0
- 2.44.0
- 2.43.0
- 2.42.0
- 2.41.0
- 2.40.0
- 2.39.0
- 2.37.0
- 2.36.0
- 2.35.0
- 2.34.0
- 2.33.0
- 2.32.0
- 2.31.0
- 2.30.0
- 2.29.0
- 2.28.0
- 2.27.0
- 2.24.0
- 2.23.0
- 2.22.0
- 2.21.0
- 2.20.0
- 2.19.0
- 2.18.0
- 2.17.0
- 2.16.0
- 2.15.0
- 2.14.0
- 2.13.0
- 2.12.0
- 2.11.0
- 2.10.0
- 2.9.0
- 2.8.0
- 2.7.0
- 2.6.0
- 2.5.0
- 2.4.0
- 2.3.18
- 2.2.3
- 2.1.23
public interface ImageObjectDetectionEvaluationMetricsOrBuilder extends MessageOrBuilder
Implements
MessageOrBuilderMethods
getBoundingBoxMeanAveragePrecision()
public abstract 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;
Returns | |
---|---|
Type | Description |
float | The boundingBoxMeanAveragePrecision. |
getBoundingBoxMetricsEntries(int index)
public abstract 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.v1beta1.BoundingBoxMetricsEntry bounding_box_metrics_entries = 2;
Parameter | |
---|---|
Name | Description |
index | int |
Returns | |
---|---|
Type | Description |
BoundingBoxMetricsEntry |
getBoundingBoxMetricsEntriesCount()
public abstract 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.v1beta1.BoundingBoxMetricsEntry bounding_box_metrics_entries = 2;
Returns | |
---|---|
Type | Description |
int |
getBoundingBoxMetricsEntriesList()
public abstract 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.v1beta1.BoundingBoxMetricsEntry bounding_box_metrics_entries = 2;
Returns | |
---|---|
Type | Description |
List<BoundingBoxMetricsEntry> |
getBoundingBoxMetricsEntriesOrBuilder(int index)
public abstract 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.v1beta1.BoundingBoxMetricsEntry bounding_box_metrics_entries = 2;
Parameter | |
---|---|
Name | Description |
index | int |
Returns | |
---|---|
Type | Description |
BoundingBoxMetricsEntryOrBuilder |
getBoundingBoxMetricsEntriesOrBuilderList()
public abstract 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.v1beta1.BoundingBoxMetricsEntry bounding_box_metrics_entries = 2;
Returns | |
---|---|
Type | Description |
List<? extends com.google.cloud.automl.v1beta1.BoundingBoxMetricsEntryOrBuilder> |
getEvaluatedBoundingBoxCount()
public abstract int 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;
Returns | |
---|---|
Type | Description |
int | The evaluatedBoundingBoxCount. |