Class XPSImageObjectDetectionEvaluationMetrics

Model evaluation metrics for image object detection problems. Evaluates prediction quality of labeled bounding boxes.

Inheritance

object

XPSImageObjectDetectionEvaluationMetrics

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.CloudNaturalLanguage.v2.Data

Assembly: Google.Apis.CloudNaturalLanguage.v2.dll

Syntax

public class XPSImageObjectDetectionEvaluationMetrics : IDirectResponseSchema

Properties

BoundingBoxMeanAveragePrecision

The single metric for bounding boxes evaluation: the mean_average_precision averaged over all bounding_box_metrics_entries.

Declaration

[JsonProperty("boundingBoxMeanAveragePrecision")]
public virtual float? BoundingBoxMeanAveragePrecision { get; set; }

Property Value

Type	Description
float?

BoundingBoxMetricsEntries

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("boundingBoxMetricsEntries")]
public virtual IList<XPSBoundingBoxMetricsEntry> BoundingBoxMetricsEntries { get; set; }

Property Value

Type	Description
IList<XPSBoundingBoxMetricsEntry>

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