Interface ImageObjectDetectionEvaluationMetricsOrBuilder (2.46.0)

Version 2.46.0

• 2.54.0 (latest)
• 2.53.0
• 2.52.0
• 2.51.0
• 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

MessageOrBuilder

Methods

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.