Class ImageObjectDetectionEvaluationMetrics

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

Inheritance
System.Object
ImageObjectDetectionEvaluationMetrics
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 ImageObjectDetectionEvaluationMetrics : IMessage<ImageObjectDetectionEvaluationMetrics>, IEquatable<ImageObjectDetectionEvaluationMetrics>, IDeepCloneable<ImageObjectDetectionEvaluationMetrics>, IBufferMessage, IMessage

Constructors

ImageObjectDetectionEvaluationMetrics()

Declaration
public ImageObjectDetectionEvaluationMetrics()

ImageObjectDetectionEvaluationMetrics(ImageObjectDetectionEvaluationMetrics)

Declaration
public ImageObjectDetectionEvaluationMetrics(ImageObjectDetectionEvaluationMetrics other)
Parameters
Type Name Description
ImageObjectDetectionEvaluationMetrics other

Properties

BoundingBoxMeanAveragePrecision

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

Declaration
public float BoundingBoxMeanAveragePrecision { get; set; }
Property Value
Type Description
System.Single

BoundingBoxMetricsEntries

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.

Declaration
public RepeatedField<BoundingBoxMetricsEntry> BoundingBoxMetricsEntries { get; }
Property Value
Type Description
RepeatedField<BoundingBoxMetricsEntry>

EvaluatedBoundingBoxCount

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

Declaration
public int EvaluatedBoundingBoxCount { get; set; }
Property Value
Type Description
System.Int32