BoundingBoxMetricsEntry(mapping=None, *, ignore_unknown_fields=False, **kwargs)
Bounding box matching model metrics for a single intersection-over-union threshold and multiple label match confidence thresholds.
Attributes
Name | Description |
iou_threshold |
float
Output only. The intersection-over-union threshold value used to compute this metrics entry. |
mean_average_precision |
float
Output only. The mean average precision, most often close to au_prc. |
confidence_metrics_entries |
Sequence[google.cloud.automl_v1beta1.types.BoundingBoxMetricsEntry.ConfidenceMetricsEntry]
Output only. Metrics for each label-match confidence_threshold from 0.05,0.10,...,0.95,0.96,0.97,0.98,0.99. Precision-recall curve is derived from them. |
Classes
ConfidenceMetricsEntry
ConfidenceMetricsEntry(mapping=None, *, ignore_unknown_fields=False, **kwargs)
Metrics for a single confidence threshold.