Class ImageObjectDetectionEvaluationMetrics

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.

Inheritance

Object > ImageObjectDetectionEvaluationMetrics

Namespace

Google.Cloud.AutoML.V1

Assembly

Google.Cloud.AutoML.V1.dll

Constructors

ImageObjectDetectionEvaluationMetrics()

public ImageObjectDetectionEvaluationMetrics()

ImageObjectDetectionEvaluationMetrics(ImageObjectDetectionEvaluationMetrics)

public ImageObjectDetectionEvaluationMetrics(ImageObjectDetectionEvaluationMetrics other)
Parameter
TypeNameDescription
ImageObjectDetectionEvaluationMetricsother

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
TypeDescription
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
TypeDescription
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
TypeDescription
Int32

Implements