Class GoogleCloudAiplatformV1SchemaModelevaluationMetricsVideoObjectTrackingMetrics

Model evaluation metrics for video object tracking problems. Evaluates prediction quality of both labeled bounding boxes and labeled tracks (i.e. series of bounding boxes sharing same label and instance ID).

Inheritance
object
GoogleCloudAiplatformV1SchemaModelevaluationMetricsVideoObjectTrackingMetrics
Implements
Inherited Members
Namespace: Google.Apis.Aiplatform.v1.Data
Assembly: Google.Apis.Aiplatform.v1.dll
Syntax
public class GoogleCloudAiplatformV1SchemaModelevaluationMetricsVideoObjectTrackingMetrics : IDirectResponseSchema

Properties

BoundingBoxMeanAveragePrecision

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

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<GoogleCloudAiplatformV1SchemaModelevaluationMetricsBoundingBoxMetrics> BoundingBoxMetrics { get; set; }
Property Value
Type Description
IList<GoogleCloudAiplatformV1SchemaModelevaluationMetricsBoundingBoxMetrics>

ETag

The ETag of the item.

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

EvaluatedBoundingBoxCount

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

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

EvaluatedFrameCount

UNIMPLEMENTED. The number of video frames used to create this evaluation.

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

EvaluatedTrackCount

UNIMPLEMENTED. The total number of tracks (i.e. as seen across all frames) the ground truth used to create this evaluation had.

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

TrackMeanAveragePrecision

UNIMPLEMENTED. The single metric for tracks accuracy evaluation: the meanAveragePrecision averaged over all trackMetrics.

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

TrackMeanBoundingBoxIou

UNIMPLEMENTED. The single metric for tracks bounding box iou evaluation: the meanBoundingBoxIou averaged over all trackMetrics.

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

TrackMeanMismatchRate

UNIMPLEMENTED. The single metric for tracking consistency evaluation: the meanMismatchRate averaged over all trackMetrics.

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

TrackMetrics

UNIMPLEMENTED. The tracks 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("trackMetrics")]
public virtual IList<GoogleCloudAiplatformV1SchemaModelevaluationMetricsTrackMetrics> TrackMetrics { get; set; }
Property Value
Type Description
IList<GoogleCloudAiplatformV1SchemaModelevaluationMetricsTrackMetrics>

Implements