Class BoundingBoxMetricsEntry (2.13.4)

Version 2.13.4

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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	MutableSequence[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.