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Class ImageObjectDetectionEvaluationMetrics (2.10.0)
Note: Some or all of the information on this page might not apply
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Version 2.10.0keyboard_arrow_down
public final class ImageObjectDetectionEvaluationMetrics extends GeneratedMessageV3 implements ImageObjectDetectionEvaluationMetricsOrBuilder
Model evaluation metrics for image object detection problems.
Evaluates prediction quality of labeled bounding boxes.
Protobuf type google.cloud.automl.v1.ImageObjectDetectionEvaluationMetrics
Static Fields
BOUNDING_BOX_MEAN_AVERAGE_PRECISION_FIELD_NUMBER
public static final int BOUNDING_BOX_MEAN_AVERAGE_PRECISION_FIELD_NUMBER
Field Value
BOUNDING_BOX_METRICS_ENTRIES_FIELD_NUMBER
public static final int BOUNDING_BOX_METRICS_ENTRIES_FIELD_NUMBER
Field Value
EVALUATED_BOUNDING_BOX_COUNT_FIELD_NUMBER
public static final int EVALUATED_BOUNDING_BOX_COUNT_FIELD_NUMBER
Field Value
Static Methods
getDefaultInstance()
public static ImageObjectDetectionEvaluationMetrics getDefaultInstance ()
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getDescriptor()
public static final Descriptors . Descriptor getDescriptor ()
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newBuilder()
public static ImageObjectDetectionEvaluationMetrics . Builder newBuilder ()
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newBuilder(ImageObjectDetectionEvaluationMetrics prototype)
public static ImageObjectDetectionEvaluationMetrics . Builder newBuilder ( ImageObjectDetectionEvaluationMetrics prototype )
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public static ImageObjectDetectionEvaluationMetrics parseDelimitedFrom ( InputStream input )
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Exceptions
public static ImageObjectDetectionEvaluationMetrics parseDelimitedFrom ( InputStream input , ExtensionRegistryLite extensionRegistry )
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Exceptions
parseFrom(byte[] data)
public static ImageObjectDetectionEvaluationMetrics parseFrom ( byte [] data )
Parameter
Name Description
databyte []
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Exceptions
parseFrom(byte[] data, ExtensionRegistryLite extensionRegistry)
public static ImageObjectDetectionEvaluationMetrics parseFrom ( byte [] data , ExtensionRegistryLite extensionRegistry )
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Exceptions
parseFrom(ByteString data)
public static ImageObjectDetectionEvaluationMetrics parseFrom ( ByteString data )
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Exceptions
parseFrom(ByteString data, ExtensionRegistryLite extensionRegistry)
public static ImageObjectDetectionEvaluationMetrics parseFrom ( ByteString data , ExtensionRegistryLite extensionRegistry )
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Exceptions
public static ImageObjectDetectionEvaluationMetrics parseFrom ( CodedInputStream input )
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Exceptions
public static ImageObjectDetectionEvaluationMetrics parseFrom ( CodedInputStream input , ExtensionRegistryLite extensionRegistry )
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Exceptions
public static ImageObjectDetectionEvaluationMetrics parseFrom ( InputStream input )
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Exceptions
public static ImageObjectDetectionEvaluationMetrics parseFrom ( InputStream input , ExtensionRegistryLite extensionRegistry )
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Exceptions
parseFrom(ByteBuffer data)
public static ImageObjectDetectionEvaluationMetrics parseFrom ( ByteBuffer data )
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Exceptions
parseFrom(ByteBuffer data, ExtensionRegistryLite extensionRegistry)
public static ImageObjectDetectionEvaluationMetrics parseFrom ( ByteBuffer data , ExtensionRegistryLite extensionRegistry )
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Exceptions
parser()
public static Parser<ImageObjectDetectionEvaluationMetrics> parser ()
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Methods
equals(Object obj)
public boolean equals ( Object obj )
Parameter
Returns
Overrides
getBoundingBoxMeanAveragePrecision()
public 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 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;
Parameter
Name Description
indexint
Returns
getBoundingBoxMetricsEntriesCount()
public 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;
Returns
getBoundingBoxMetricsEntriesList()
public 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;
Returns
getBoundingBoxMetricsEntriesOrBuilder(int index)
public 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;
Parameter
Name Description
indexint
Returns
getBoundingBoxMetricsEntriesOrBuilderList()
public 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;
Returns
Type Description
List <? extends com.google.cloud.automl.v1.BoundingBoxMetricsEntryOrBuilder >
getDefaultInstanceForType()
public ImageObjectDetectionEvaluationMetrics getDefaultInstanceForType ()
Returns
getEvaluatedBoundingBoxCount()
public 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.
getParserForType()
public Parser<ImageObjectDetectionEvaluationMetrics> getParserForType ()
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Overrides
getSerializedSize()
public int getSerializedSize ()
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Overrides
getUnknownFields()
public final UnknownFieldSet getUnknownFields ()
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Overrides
hashCode()
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Overrides
internalGetFieldAccessorTable()
protected GeneratedMessageV3 . FieldAccessorTable internalGetFieldAccessorTable ()
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Overrides
isInitialized()
public final boolean isInitialized ()
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Overrides
newBuilderForType()
public ImageObjectDetectionEvaluationMetrics . Builder newBuilderForType ()
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newBuilderForType(GeneratedMessageV3.BuilderParent parent)
protected ImageObjectDetectionEvaluationMetrics . Builder newBuilderForType ( GeneratedMessageV3 . BuilderParent parent )
Parameter
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Overrides
newInstance(GeneratedMessageV3.UnusedPrivateParameter unused)
protected Object newInstance ( GeneratedMessageV3 . UnusedPrivateParameter unused )
Parameter
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Overrides
toBuilder()
public ImageObjectDetectionEvaluationMetrics . Builder toBuilder ()
Returns
writeTo(CodedOutputStream output)
public void writeTo ( CodedOutputStream output )
Parameter
Overrides
Exceptions
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Last updated 2025-07-18 UTC.
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