GoogleApi.Language.V2.Model.XPSImageObjectDetectionEvaluationMetrics (google_api_language v0.16.3)
View SourceModel 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 }