View Source GoogleApi.AIPlatform.V1.Model.GoogleCloudAiplatformV1SchemaModelevaluationMetricsImageObjectDetectionEvaluationMetrics (google_api_ai_platform v0.13.0)

Metrics for image object detection evaluation results.

Attributes

boundingBoxMeanAveragePrecision (type: number(), default: nil) - The single metric for bounding boxes evaluation: the meanAveragePrecision averaged over all boundingBoxMetricsEntries.
boundingBoxMetrics (type: list(GoogleApi.AIPlatform.V1.Model.GoogleCloudAiplatformV1SchemaModelevaluationMetricsBoundingBoxMetrics.t), default: nil) - 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.
evaluatedBoundingBoxCount (type: integer(), default: nil) - The total number of bounding boxes (i.e. summed over all images) the ground truth used to create this evaluation had.

Summary

Types

t()

Functions

decode(value, options)

Unwrap a decoded JSON object into its complex fields.

Types

t()

@type t() ::
  %GoogleApi.AIPlatform.V1.Model.GoogleCloudAiplatformV1SchemaModelevaluationMetricsImageObjectDetectionEvaluationMetrics{
    boundingBoxMeanAveragePrecision: number() | nil,
    boundingBoxMetrics:
      [
        GoogleApi.AIPlatform.V1.Model.GoogleCloudAiplatformV1SchemaModelevaluationMetricsBoundingBoxMetrics.t()
      ]
      | nil,
    evaluatedBoundingBoxCount: integer() | nil
  }

Functions

decode(value, options)

@spec decode(struct(), keyword()) :: struct()

Unwrap a decoded JSON object into its complex fields.