Google AutoML v1 API - Class ImageObjectDetectionEvaluationMetrics (3.2.0) 

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.

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
NameDescription
otherImageObjectDetectionEvaluationMetrics

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
float

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
RepeatedFieldBoundingBoxMetricsEntry

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
int