Class ImageObjectDetectionEvaluationMetrics.Builder (2.23.0)

Version 2.23.0

• 2.60.0 (latest)
• 2.59.0
• 2.58.0
• 2.57.0
• 2.56.0
• 2.55.0
• 2.54.0
• 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 static final class ImageObjectDetectionEvaluationMetrics.Builder extends GeneratedMessageV3.Builder<ImageObjectDetectionEvaluationMetrics.Builder> implements ImageObjectDetectionEvaluationMetricsOrBuilder

Model evaluation metrics for image object detection problems. Evaluates prediction quality of labeled bounding boxes.

Protobuf type google.cloud.automl.v1.ImageObjectDetectionEvaluationMetrics

Inheritance

Object > AbstractMessageLite.Builder<MessageType,BuilderType> > AbstractMessage.Builder<BuilderType> > GeneratedMessageV3.Builder > ImageObjectDetectionEvaluationMetrics.Builder

Implements

ImageObjectDetectionEvaluationMetricsOrBuilder

Inherited Members

AbstractMessage.Builder.findInitializationErrors()

AbstractMessage.Builder.getInitializationErrorString()

AbstractMessage.Builder.internalMergeFrom(AbstractMessageLite)

AbstractMessage.Builder.mergeFrom(byte[])

AbstractMessage.Builder.mergeFrom(byte[],ExtensionRegistryLite)

AbstractMessage.Builder.mergeFrom(byte[],int,int)

AbstractMessage.Builder.mergeFrom(byte[],int,int,ExtensionRegistryLite)

AbstractMessage.Builder.mergeFrom(ByteString)

AbstractMessage.Builder.mergeFrom(ByteString,ExtensionRegistryLite)

AbstractMessage.Builder.mergeFrom(CodedInputStream)

AbstractMessage.Builder.mergeFrom(CodedInputStream,ExtensionRegistryLite)

AbstractMessage.Builder.mergeFrom(Message)

AbstractMessage.Builder.mergeFrom(InputStream)

AbstractMessage.Builder.mergeFrom(InputStream,ExtensionRegistryLite)

AbstractMessage.Builder.newUninitializedMessageException(Message)

AbstractMessage.Builder.toString()

AbstractMessageLite.Builder.<T>addAll(Iterable<T>,Collection<? super T>)

AbstractMessageLite.Builder.<T>addAll(Iterable<T>,List<? super T>)

AbstractMessageLite.Builder.internalMergeFrom(MessageType)

AbstractMessageLite.Builder.mergeDelimitedFrom(InputStream)

AbstractMessageLite.Builder.mergeDelimitedFrom(InputStream,ExtensionRegistryLite)

AbstractMessageLite.Builder.mergeFrom(MessageLite)

AbstractMessageLite.Builder.newUninitializedMessageException(MessageLite)

GeneratedMessageV3.Builder.addRepeatedField(Descriptors.FieldDescriptor,Object)

GeneratedMessageV3.Builder.clear()

GeneratedMessageV3.Builder.clearField(Descriptors.FieldDescriptor)

GeneratedMessageV3.Builder.clearOneof(Descriptors.OneofDescriptor)

GeneratedMessageV3.Builder.clone()

GeneratedMessageV3.Builder.getAllFields()

GeneratedMessageV3.Builder.getDescriptorForType()

GeneratedMessageV3.Builder.getField(Descriptors.FieldDescriptor)

GeneratedMessageV3.Builder.getFieldBuilder(Descriptors.FieldDescriptor)

GeneratedMessageV3.Builder.getOneofFieldDescriptor(Descriptors.OneofDescriptor)

GeneratedMessageV3.Builder.getParentForChildren()

GeneratedMessageV3.Builder.getRepeatedField(Descriptors.FieldDescriptor,int)

GeneratedMessageV3.Builder.getRepeatedFieldBuilder(Descriptors.FieldDescriptor,int)

GeneratedMessageV3.Builder.getRepeatedFieldCount(Descriptors.FieldDescriptor)

com.google.protobuf.GeneratedMessageV3.Builder.getUnknownFieldSetBuilder()

GeneratedMessageV3.Builder.getUnknownFields()

GeneratedMessageV3.Builder.hasField(Descriptors.FieldDescriptor)

GeneratedMessageV3.Builder.hasOneof(Descriptors.OneofDescriptor)

GeneratedMessageV3.Builder.internalGetFieldAccessorTable()

GeneratedMessageV3.Builder.internalGetMapField(int)

GeneratedMessageV3.Builder.internalGetMutableMapField(int)

GeneratedMessageV3.Builder.isClean()

GeneratedMessageV3.Builder.isInitialized()

GeneratedMessageV3.Builder.markClean()

GeneratedMessageV3.Builder.mergeUnknownFields(UnknownFieldSet)

com.google.protobuf.GeneratedMessageV3.Builder.mergeUnknownLengthDelimitedField(int,com.google.protobuf.ByteString)

com.google.protobuf.GeneratedMessageV3.Builder.mergeUnknownVarintField(int,int)

GeneratedMessageV3.Builder.newBuilderForField(Descriptors.FieldDescriptor)

GeneratedMessageV3.Builder.onBuilt()

GeneratedMessageV3.Builder.onChanged()

com.google.protobuf.GeneratedMessageV3.Builder.parseUnknownField(com.google.protobuf.CodedInputStream,com.google.protobuf.ExtensionRegistryLite,int)

GeneratedMessageV3.Builder.setField(Descriptors.FieldDescriptor,Object)

GeneratedMessageV3.Builder.setRepeatedField(Descriptors.FieldDescriptor,int,Object)

com.google.protobuf.GeneratedMessageV3.Builder.setUnknownFieldSetBuilder(com.google.protobuf.UnknownFieldSet.Builder)

GeneratedMessageV3.Builder.setUnknownFields(UnknownFieldSet)

GeneratedMessageV3.Builder.setUnknownFieldsProto3(UnknownFieldSet)

Object.equals(Object)

Object.finalize()

Object.getClass()

Object.hashCode()

Object.notify()

Object.notifyAll()

Object.wait()

Object.wait(long)

Object.wait(long,int)

Static Methods

getDescriptor()

public static final Descriptors.Descriptor getDescriptor()

Returns
Type	Description
Descriptor

Methods

addAllBoundingBoxMetricsEntries(Iterable<? extends BoundingBoxMetricsEntry> values)

public ImageObjectDetectionEvaluationMetrics.Builder addAllBoundingBoxMetricsEntries(Iterable<? extends BoundingBoxMetricsEntry> values)

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
values	Iterable<? extends com.google.cloud.automl.v1.BoundingBoxMetricsEntry>

Returns
Type	Description
ImageObjectDetectionEvaluationMetrics.Builder

addBoundingBoxMetricsEntries(BoundingBoxMetricsEntry value)

public ImageObjectDetectionEvaluationMetrics.Builder addBoundingBoxMetricsEntries(BoundingBoxMetricsEntry value)

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
value	BoundingBoxMetricsEntry

Returns
Type	Description
ImageObjectDetectionEvaluationMetrics.Builder

addBoundingBoxMetricsEntries(BoundingBoxMetricsEntry.Builder builderForValue)

public ImageObjectDetectionEvaluationMetrics.Builder addBoundingBoxMetricsEntries(BoundingBoxMetricsEntry.Builder builderForValue)

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
builderForValue	BoundingBoxMetricsEntry.Builder

Returns
Type	Description
ImageObjectDetectionEvaluationMetrics.Builder

addBoundingBoxMetricsEntries(int index, BoundingBoxMetricsEntry value)

public ImageObjectDetectionEvaluationMetrics.Builder addBoundingBoxMetricsEntries(int index, BoundingBoxMetricsEntry value)

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;

Parameters
Name	Description
index	int
value	BoundingBoxMetricsEntry

Returns
Type	Description
ImageObjectDetectionEvaluationMetrics.Builder

addBoundingBoxMetricsEntries(int index, BoundingBoxMetricsEntry.Builder builderForValue)

public ImageObjectDetectionEvaluationMetrics.Builder addBoundingBoxMetricsEntries(int index, BoundingBoxMetricsEntry.Builder builderForValue)

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;

Parameters
Name	Description
index	int
builderForValue	BoundingBoxMetricsEntry.Builder

Returns
Type	Description
ImageObjectDetectionEvaluationMetrics.Builder

addBoundingBoxMetricsEntriesBuilder()

public BoundingBoxMetricsEntry.Builder addBoundingBoxMetricsEntriesBuilder()

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
BoundingBoxMetricsEntry.Builder

addBoundingBoxMetricsEntriesBuilder(int index)

public BoundingBoxMetricsEntry.Builder addBoundingBoxMetricsEntriesBuilder(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
index	int

Returns
Type	Description
BoundingBoxMetricsEntry.Builder

addRepeatedField(Descriptors.FieldDescriptor field, Object value)

public ImageObjectDetectionEvaluationMetrics.Builder addRepeatedField(Descriptors.FieldDescriptor field, Object value)

Parameters
Name	Description
field	FieldDescriptor
value	Object

Returns
Type	Description
ImageObjectDetectionEvaluationMetrics.Builder

Overrides

GeneratedMessageV3.Builder<BuilderType>.addRepeatedField(Descriptors.FieldDescriptor field, Object value)

build()

public ImageObjectDetectionEvaluationMetrics build()

Returns
Type	Description
ImageObjectDetectionEvaluationMetrics

buildPartial()

public ImageObjectDetectionEvaluationMetrics buildPartial()

Returns
Type	Description
ImageObjectDetectionEvaluationMetrics

clear()

public ImageObjectDetectionEvaluationMetrics.Builder clear()

Returns
Type	Description
ImageObjectDetectionEvaluationMetrics.Builder

Overrides

GeneratedMessageV3.Builder<BuilderType>.clear()

clearBoundingBoxMeanAveragePrecision()

public ImageObjectDetectionEvaluationMetrics.Builder clearBoundingBoxMeanAveragePrecision()

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
ImageObjectDetectionEvaluationMetrics.Builder	This builder for chaining.

clearBoundingBoxMetricsEntries()

public ImageObjectDetectionEvaluationMetrics.Builder clearBoundingBoxMetricsEntries()

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
ImageObjectDetectionEvaluationMetrics.Builder

clearEvaluatedBoundingBoxCount()

public ImageObjectDetectionEvaluationMetrics.Builder clearEvaluatedBoundingBoxCount()

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
ImageObjectDetectionEvaluationMetrics.Builder	This builder for chaining.

clearField(Descriptors.FieldDescriptor field)

public ImageObjectDetectionEvaluationMetrics.Builder clearField(Descriptors.FieldDescriptor field)

Parameter
Name	Description
field	FieldDescriptor

Returns
Type	Description
ImageObjectDetectionEvaluationMetrics.Builder

Overrides

GeneratedMessageV3.Builder<BuilderType>.clearField(Descriptors.FieldDescriptor field)

clearOneof(Descriptors.OneofDescriptor oneof)

public ImageObjectDetectionEvaluationMetrics.Builder clearOneof(Descriptors.OneofDescriptor oneof)

Parameter
Name	Description
oneof	OneofDescriptor

Returns
Type	Description
ImageObjectDetectionEvaluationMetrics.Builder

Overrides

GeneratedMessageV3.Builder<BuilderType>.clearOneof(Descriptors.OneofDescriptor oneof)

clone()

public ImageObjectDetectionEvaluationMetrics.Builder clone()

Returns
Type	Description
ImageObjectDetectionEvaluationMetrics.Builder

Overrides

GeneratedMessageV3.Builder<BuilderType>.clone()

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
index	int

Returns
Type	Description
BoundingBoxMetricsEntry

getBoundingBoxMetricsEntriesBuilder(int index)

public BoundingBoxMetricsEntry.Builder getBoundingBoxMetricsEntriesBuilder(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
index	int

Returns
Type	Description
BoundingBoxMetricsEntry.Builder

getBoundingBoxMetricsEntriesBuilderList()

public List<BoundingBoxMetricsEntry.Builder> getBoundingBoxMetricsEntriesBuilderList()

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<Builder>

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
Type	Description
int

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
Type	Description
List<BoundingBoxMetricsEntry>

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
index	int

Returns
Type	Description
BoundingBoxMetricsEntryOrBuilder

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
Type	Description
ImageObjectDetectionEvaluationMetrics

getDescriptorForType()

public Descriptors.Descriptor getDescriptorForType()

Returns
Type	Description
Descriptor

Overrides

GeneratedMessageV3.Builder<BuilderType>.getDescriptorForType()

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.

internalGetFieldAccessorTable()

protected GeneratedMessageV3.FieldAccessorTable internalGetFieldAccessorTable()

Returns
Type	Description
FieldAccessorTable

Overrides

GeneratedMessageV3.Builder<BuilderType>.internalGetFieldAccessorTable()

isInitialized()

public final boolean isInitialized()

Returns
Type	Description
boolean

Overrides

GeneratedMessageV3.Builder<BuilderType>.isInitialized()

mergeFrom(ImageObjectDetectionEvaluationMetrics other)

public ImageObjectDetectionEvaluationMetrics.Builder mergeFrom(ImageObjectDetectionEvaluationMetrics other)

Parameter
Name	Description
other	ImageObjectDetectionEvaluationMetrics

Returns
Type	Description
ImageObjectDetectionEvaluationMetrics.Builder

mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)

public ImageObjectDetectionEvaluationMetrics.Builder mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)

Parameters
Name	Description
input	CodedInputStream
extensionRegistry	ExtensionRegistryLite

Returns
Type	Description
ImageObjectDetectionEvaluationMetrics.Builder

Overrides

AbstractMessage.Builder<BuilderType>.mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)

Exceptions
Type	Description
IOException

mergeFrom(Message other)

public ImageObjectDetectionEvaluationMetrics.Builder mergeFrom(Message other)

Parameter
Name	Description
other	Message

Returns
Type	Description
ImageObjectDetectionEvaluationMetrics.Builder

Overrides

AbstractMessage.Builder<BuilderType>.mergeFrom(Message other)

mergeUnknownFields(UnknownFieldSet unknownFields)

public final ImageObjectDetectionEvaluationMetrics.Builder mergeUnknownFields(UnknownFieldSet unknownFields)

Parameter
Name	Description
unknownFields	UnknownFieldSet

Returns
Type	Description
ImageObjectDetectionEvaluationMetrics.Builder

Overrides

GeneratedMessageV3.Builder<BuilderType>.mergeUnknownFields(UnknownFieldSet unknownFields)

removeBoundingBoxMetricsEntries(int index)

public ImageObjectDetectionEvaluationMetrics.Builder removeBoundingBoxMetricsEntries(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
index	int

Returns
Type	Description
ImageObjectDetectionEvaluationMetrics.Builder

setBoundingBoxMeanAveragePrecision(float value)

public ImageObjectDetectionEvaluationMetrics.Builder setBoundingBoxMeanAveragePrecision(float value)

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;

Parameter
Name	Description
value	float The boundingBoxMeanAveragePrecision to set.

Returns
Type	Description
ImageObjectDetectionEvaluationMetrics.Builder	This builder for chaining.

setBoundingBoxMetricsEntries(int index, BoundingBoxMetricsEntry value)

public ImageObjectDetectionEvaluationMetrics.Builder setBoundingBoxMetricsEntries(int index, BoundingBoxMetricsEntry value)

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;

Parameters
Name	Description
index	int
value	BoundingBoxMetricsEntry

Returns
Type	Description
ImageObjectDetectionEvaluationMetrics.Builder

setBoundingBoxMetricsEntries(int index, BoundingBoxMetricsEntry.Builder builderForValue)

public ImageObjectDetectionEvaluationMetrics.Builder setBoundingBoxMetricsEntries(int index, BoundingBoxMetricsEntry.Builder builderForValue)

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;

Parameters
Name	Description
index	int
builderForValue	BoundingBoxMetricsEntry.Builder

Returns
Type	Description
ImageObjectDetectionEvaluationMetrics.Builder

setEvaluatedBoundingBoxCount(int value)

public ImageObjectDetectionEvaluationMetrics.Builder setEvaluatedBoundingBoxCount(int value)

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;

Parameter
Name	Description
value	int The evaluatedBoundingBoxCount to set.

Returns
Type	Description
ImageObjectDetectionEvaluationMetrics.Builder	This builder for chaining.

setField(Descriptors.FieldDescriptor field, Object value)

public ImageObjectDetectionEvaluationMetrics.Builder setField(Descriptors.FieldDescriptor field, Object value)

Parameters
Name	Description
field	FieldDescriptor
value	Object

Returns
Type	Description
ImageObjectDetectionEvaluationMetrics.Builder

Overrides

GeneratedMessageV3.Builder<BuilderType>.setField(Descriptors.FieldDescriptor field, Object value)

setRepeatedField(Descriptors.FieldDescriptor field, int index, Object value)

public ImageObjectDetectionEvaluationMetrics.Builder setRepeatedField(Descriptors.FieldDescriptor field, int index, Object value)

Parameters
Name	Description
field	FieldDescriptor
index	int
value	Object

Returns
Type	Description
ImageObjectDetectionEvaluationMetrics.Builder

Overrides

GeneratedMessageV3.Builder<BuilderType>.setRepeatedField(Descriptors.FieldDescriptor field, int index, Object value)

setUnknownFields(UnknownFieldSet unknownFields)

public final ImageObjectDetectionEvaluationMetrics.Builder setUnknownFields(UnknownFieldSet unknownFields)

Parameter
Name	Description
unknownFields	UnknownFieldSet

Returns
Type	Description
ImageObjectDetectionEvaluationMetrics.Builder

Overrides

GeneratedMessageV3.Builder<BuilderType>.setUnknownFields(UnknownFieldSet unknownFields)