Google AutoML v1 API - Class BoundingBoxMetricsEntry (3.2.0)

Version 3.2.0

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public sealed class BoundingBoxMetricsEntry : IMessage<BoundingBoxMetricsEntry>, IEquatable<BoundingBoxMetricsEntry>, IDeepCloneable<BoundingBoxMetricsEntry>, IBufferMessage, IMessage

Reference documentation and code samples for the Google AutoML v1 API class BoundingBoxMetricsEntry.

Bounding box matching model metrics for a single intersection-over-union threshold and multiple label match confidence thresholds.

Inheritance

object > BoundingBoxMetricsEntry

Implements

IMessageBoundingBoxMetricsEntry, IEquatableBoundingBoxMetricsEntry, IDeepCloneableBoundingBoxMetricsEntry, IBufferMessage, IMessage

Inherited Members

object.GetHashCode()

object.GetType()

object.ToString()

Namespace

Google.Cloud.AutoML.V1

Assembly

Google.Cloud.AutoML.V1.dll

Constructors

BoundingBoxMetricsEntry()

public BoundingBoxMetricsEntry()

BoundingBoxMetricsEntry(BoundingBoxMetricsEntry)

public BoundingBoxMetricsEntry(BoundingBoxMetricsEntry other)

Parameter
Name	Description
other	BoundingBoxMetricsEntry

Properties

ConfidenceMetricsEntries

public RepeatedField<BoundingBoxMetricsEntry.Types.ConfidenceMetricsEntry> ConfidenceMetricsEntries { get; }

Output only. Metrics for each label-match confidence_threshold from 0.05,0.10,...,0.95,0.96,0.97,0.98,0.99. Precision-recall curve is derived from them.

Property Value
Type	Description
RepeatedFieldBoundingBoxMetricsEntryTypesConfidenceMetricsEntry

IouThreshold

public float IouThreshold { get; set; }

Output only. The intersection-over-union threshold value used to compute this metrics entry.

Property Value
Type	Description
float

MeanAveragePrecision

public float MeanAveragePrecision { get; set; }

Output only. The mean average precision, most often close to au_prc.

Property Value
Type	Description
float