com.google.api.services.language.v2.model

Class XPSImageObjectDetectionEvaluationMetrics

java.lang.Object

java.util.AbstractMap<String,Object>

com.google.api.client.util.GenericData

com.google.api.client.json.GenericJson

com.google.api.services.language.v2.model.XPSImageObjectDetectionEvaluationMetrics

All Implemented Interfaces:

Cloneable, Map<String,Object>

public final class XPSImageObjectDetectionEvaluationMetrics
extends com.google.api.client.json.GenericJson

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

This is the Java data model class that specifies how to parse/serialize into the JSON that is transmitted over HTTP when working with the Cloud Natural Language API. For a detailed explanation see: https://developers.google.com/api-client-library/java/google-http-java-client/json

Author:

Google, Inc.

Nested Class Summary

Nested classes/interfaces inherited from class com.google.api.client.util.GenericData

com.google.api.client.util.GenericData.Flags

Nested classes/interfaces inherited from class java.util.AbstractMap

AbstractMap.SimpleEntry<K,V>, AbstractMap.SimpleImmutableEntry<K,V>

Nested classes/interfaces inherited from interface java.util.Map

Map.Entry<K,V>

Constructor Summary

Constructors

Constructor and Description
XPSImageObjectDetectionEvaluationMetrics()

Method Summary

Modifier and Type	Method and Description
XPSImageObjectDetectionEvaluationMetrics	clone()
Float	getBoundingBoxMeanAveragePrecision() The single metric for bounding boxes evaluation: the mean_average_precision averaged over all bounding_box_metrics_entries.
List<XPSBoundingBoxMetricsEntry>	getBoundingBoxMetricsEntries() 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.
Integer	getEvaluatedBoundingBoxCount() The total number of bounding boxes (i.e.
XPSImageObjectDetectionEvaluationMetrics	set(String fieldName, Object value)
XPSImageObjectDetectionEvaluationMetrics	setBoundingBoxMeanAveragePrecision(Float boundingBoxMeanAveragePrecision) The single metric for bounding boxes evaluation: the mean_average_precision averaged over all bounding_box_metrics_entries.
XPSImageObjectDetectionEvaluationMetrics	setBoundingBoxMetricsEntries(List<XPSBoundingBoxMetricsEntry> boundingBoxMetricsEntries) 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.
XPSImageObjectDetectionEvaluationMetrics	setEvaluatedBoundingBoxCount(Integer evaluatedBoundingBoxCount) The total number of bounding boxes (i.e.

Methods inherited from class com.google.api.client.json.GenericJson

getFactory, setFactory, toPrettyString, toString

Methods inherited from class com.google.api.client.util.GenericData

entrySet, equals, get, getClassInfo, getUnknownKeys, hashCode, put, putAll, remove, setUnknownKeys

Methods inherited from class java.util.AbstractMap

clear, containsKey, containsValue, isEmpty, keySet, size, values

Methods inherited from class java.lang.Object

finalize, getClass, notify, notifyAll, wait, wait, wait

Methods inherited from interface java.util.Map

compute, computeIfAbsent, computeIfPresent, forEach, getOrDefault, merge, putIfAbsent, remove, replace, replace, replaceAll

Constructor Detail

XPSImageObjectDetectionEvaluationMetrics

public XPSImageObjectDetectionEvaluationMetrics()

Method Detail

getBoundingBoxMeanAveragePrecision

public Float getBoundingBoxMeanAveragePrecision()

The single metric for bounding boxes evaluation: the mean_average_precision averaged over all bounding_box_metrics_entries.

Returns:

value or null for none

setBoundingBoxMeanAveragePrecision

public XPSImageObjectDetectionEvaluationMetrics setBoundingBoxMeanAveragePrecision(Float boundingBoxMeanAveragePrecision)

The single metric for bounding boxes evaluation: the mean_average_precision averaged over all bounding_box_metrics_entries.

Parameters:

boundingBoxMeanAveragePrecision - boundingBoxMeanAveragePrecision or null for none

getBoundingBoxMetricsEntries

public List<XPSBoundingBoxMetricsEntry> getBoundingBoxMetricsEntries()

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.

Returns:

value or null for none

setBoundingBoxMetricsEntries

public XPSImageObjectDetectionEvaluationMetrics setBoundingBoxMetricsEntries(List<XPSBoundingBoxMetricsEntry> boundingBoxMetricsEntries)

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.

Parameters:

boundingBoxMetricsEntries - boundingBoxMetricsEntries or null for none

getEvaluatedBoundingBoxCount

public Integer getEvaluatedBoundingBoxCount()

The total number of bounding boxes (i.e. summed over all images) the ground truth used to create this evaluation had.

Returns:

value or null for none

setEvaluatedBoundingBoxCount

public XPSImageObjectDetectionEvaluationMetrics setEvaluatedBoundingBoxCount(Integer evaluatedBoundingBoxCount)

The total number of bounding boxes (i.e. summed over all images) the ground truth used to create this evaluation had.

Parameters:

evaluatedBoundingBoxCount - evaluatedBoundingBoxCount or null for none

set

public XPSImageObjectDetectionEvaluationMetrics set(String fieldName,
                                                    Object value)

Overrides:

set in class com.google.api.client.json.GenericJson

clone

public XPSImageObjectDetectionEvaluationMetrics clone()

Overrides:

clone in class com.google.api.client.json.GenericJson