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Class GoogleCloudAiplatformV1beta1SchemaModelevaluationMetricsImageObjectDetectionEvaluationMetrics

Metrics for image object detection evaluation results.

Inheritance
object
GoogleCloudAiplatformV1beta1SchemaModelevaluationMetricsImageObjectDetectionEvaluationMetrics
Implements
IDirectResponseSchema
Inherited Members
object.Equals(object)
object.Equals(object, object)
object.GetHashCode()
object.GetType()
object.MemberwiseClone()
object.ReferenceEquals(object, object)
object.ToString()
Namespace: Google.Apis.Aiplatform.v1beta1.Data
Assembly: Google.Apis.Aiplatform.v1beta1.dll
Syntax
public class GoogleCloudAiplatformV1beta1SchemaModelevaluationMetricsImageObjectDetectionEvaluationMetrics : IDirectResponseSchema

Properties

BoundingBoxMeanAveragePrecision

The single metric for bounding boxes evaluation: the meanAveragePrecision averaged over all boundingBoxMetricsEntries.

Declaration
[JsonProperty("boundingBoxMeanAveragePrecision")]
public virtual float? BoundingBoxMeanAveragePrecision { get; set; }
Property Value
Type Description
float?

BoundingBoxMetrics

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
[JsonProperty("boundingBoxMetrics")]
public virtual IList<GoogleCloudAiplatformV1beta1SchemaModelevaluationMetricsBoundingBoxMetrics> BoundingBoxMetrics { get; set; }
Property Value
Type Description
IList<GoogleCloudAiplatformV1beta1SchemaModelevaluationMetricsBoundingBoxMetrics>

ETag

The ETag of the item.

Declaration
public virtual string ETag { get; set; }
Property Value
Type Description
string

EvaluatedBoundingBoxCount

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

Declaration
[JsonProperty("evaluatedBoundingBoxCount")]
public virtual int? EvaluatedBoundingBoxCount { get; set; }
Property Value
Type Description
int?

Implements

IDirectResponseSchema
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