public sealed class ImageObjectDetectionEvaluationMetrics : IMessage<ImageObjectDetectionEvaluationMetrics>, IEquatable<ImageObjectDetectionEvaluationMetrics>, IDeepCloneable<ImageObjectDetectionEvaluationMetrics>, IBufferMessage, IMessage
Reference documentation and code samples for the Google AutoML v1 API class ImageObjectDetectionEvaluationMetrics.
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 |