Interface ImageObjectDetectionEvaluationMetricsOrBuilder

    • Method Detail

      • getEvaluatedBoundingBoxCount

        int getEvaluatedBoundingBoxCount()
         Output only. The total number of bounding boxes (i.e. summed over all
         images) the ground truth used to create this evaluation had.
         
        int32 evaluated_bounding_box_count = 1;
        Returns:
        The evaluatedBoundingBoxCount.
      • getBoundingBoxMetricsEntriesList

        List<BoundingBoxMetricsEntry> getBoundingBoxMetricsEntriesList()
         Output only. 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.
         
        repeated .google.cloud.automl.v1beta1.BoundingBoxMetricsEntry bounding_box_metrics_entries = 2;
      • getBoundingBoxMetricsEntries

        BoundingBoxMetricsEntry getBoundingBoxMetricsEntries​(int index)
         Output only. 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.
         
        repeated .google.cloud.automl.v1beta1.BoundingBoxMetricsEntry bounding_box_metrics_entries = 2;
      • getBoundingBoxMetricsEntriesCount

        int getBoundingBoxMetricsEntriesCount()
         Output only. 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.
         
        repeated .google.cloud.automl.v1beta1.BoundingBoxMetricsEntry bounding_box_metrics_entries = 2;
      • getBoundingBoxMetricsEntriesOrBuilderList

        List<? extends BoundingBoxMetricsEntryOrBuilder> getBoundingBoxMetricsEntriesOrBuilderList()
         Output only. 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.
         
        repeated .google.cloud.automl.v1beta1.BoundingBoxMetricsEntry bounding_box_metrics_entries = 2;
      • getBoundingBoxMetricsEntriesOrBuilder

        BoundingBoxMetricsEntryOrBuilder getBoundingBoxMetricsEntriesOrBuilder​(int index)
         Output only. 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.
         
        repeated .google.cloud.automl.v1beta1.BoundingBoxMetricsEntry bounding_box_metrics_entries = 2;
      • getBoundingBoxMeanAveragePrecision

        float getBoundingBoxMeanAveragePrecision()
         Output only. The single metric for bounding boxes evaluation:
         the mean_average_precision averaged over all bounding_box_metrics_entries.
         
        float bounding_box_mean_average_precision = 3;
        Returns:
        The boundingBoxMeanAveragePrecision.