public sealed class ImageObjectDetectionEvaluationMetrics : IMessage<ImageObjectDetectionEvaluationMetrics>, IEquatable<ImageObjectDetectionEvaluationMetrics>, IDeepCloneable<ImageObjectDetectionEvaluationMetrics>, IBufferMessage, IMessage
Model evaluation metrics for image object detection problems. Evaluates prediction quality of labeled bounding boxes.
Implements
IMessage<ImageObjectDetectionEvaluationMetrics>, IEquatable<ImageObjectDetectionEvaluationMetrics>, IDeepCloneable<ImageObjectDetectionEvaluationMetrics>, IBufferMessage, IMessageNamespace
Google.Cloud.AutoML.V1Assembly
Google.Cloud.AutoML.V1.dll
Constructors
ImageObjectDetectionEvaluationMetrics()
public ImageObjectDetectionEvaluationMetrics()
ImageObjectDetectionEvaluationMetrics(ImageObjectDetectionEvaluationMetrics)
public ImageObjectDetectionEvaluationMetrics(ImageObjectDetectionEvaluationMetrics other)
Parameter | |
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Name | Description |
other | ImageObjectDetectionEvaluationMetrics |
Properties
BoundingBoxMeanAveragePrecision
public float BoundingBoxMeanAveragePrecision { get; set; }
Output only. The single metric for bounding boxes evaluation: the mean_average_precision averaged over all bounding_box_metrics_entries.
Property Value | |
---|---|
Type | Description |
Single |
BoundingBoxMetricsEntries
public RepeatedField<BoundingBoxMetricsEntry> BoundingBoxMetricsEntries { get; }
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.
Property Value | |
---|---|
Type | Description |
RepeatedField<BoundingBoxMetricsEntry> |
EvaluatedBoundingBoxCount
public int EvaluatedBoundingBoxCount { get; set; }
Output only. The total number of bounding boxes (i.e. summed over all images) the ground truth used to create this evaluation had.
Property Value | |
---|---|
Type | Description |
Int32 |