View Source GoogleApi.Language.V2.Model.XPSImageObjectDetectionEvaluationMetrics (google_api_language v0.14.0)

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

Attributes

  • boundingBoxMeanAveragePrecision (type: number(), default: nil) - The single metric for bounding boxes evaluation: the mean_average_precision averaged over all bounding_box_metrics_entries.
  • boundingBoxMetricsEntries (type: list(GoogleApi.Language.V2.Model.XPSBoundingBoxMetricsEntry.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

Functions

Unwrap a decoded JSON object into its complex fields.

Types

@type t() :: %GoogleApi.Language.V2.Model.XPSImageObjectDetectionEvaluationMetrics{
  boundingBoxMeanAveragePrecision: number() | nil,
  boundingBoxMetricsEntries:
    [GoogleApi.Language.V2.Model.XPSBoundingBoxMetricsEntry.t()] | nil,
  evaluatedBoundingBoxCount: integer() | nil
}

Functions

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

Unwrap a decoded JSON object into its complex fields.