Class BoundingBoxMetricsEntry

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

Inheritance

System.Object

BoundingBoxMetricsEntry

Implements

IMessage<BoundingBoxMetricsEntry>

System.IEquatable<BoundingBoxMetricsEntry>

IDeepCloneable<BoundingBoxMetricsEntry>

Google.Protobuf.IBufferMessage

IMessage

Inherited Members

System.Object.ToString()

System.Object.GetHashCode()

System.Object.GetType()

System.Object.MemberwiseClone()

Namespace: Google.Cloud.AutoML.V1

Assembly: Google.Cloud.AutoML.V1.dll

Syntax

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

Constructors

BoundingBoxMetricsEntry()

Declaration

public BoundingBoxMetricsEntry()

BoundingBoxMetricsEntry(BoundingBoxMetricsEntry)

Declaration

public BoundingBoxMetricsEntry(BoundingBoxMetricsEntry other)

Parameters

Type	Name	Description
BoundingBoxMetricsEntry	other

Properties

ConfidenceMetricsEntries

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.

Declaration

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

Property Value

Type	Description
RepeatedField<BoundingBoxMetricsEntry.Types.ConfidenceMetricsEntry>

IouThreshold

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

Declaration

public float IouThreshold { get; set; }

Property Value

Type	Description
System.Single

MeanAveragePrecision

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

Declaration

public float MeanAveragePrecision { get; set; }

Property Value

Type	Description
System.Single