Class BoundingBoxMetricsEntry (2.2.0)

Version 2.2.0

• 2.14.1 (latest)
• 2.14.0
• 2.13.5
• 2.12.0
• 2.11.4
• 2.10.1
• 2.9.0
• 2.8.3
• 2.7.3
• 2.6.0
• 2.5.2
• 2.4.2
• 2.3.0
• 2.2.0
• 2.1.0
• 2.0.0
• 1.0.3
• 0.10.0
• 0.9.0
• 0.8.0
• 0.7.1
• 0.6.0
• 0.5.0
• 0.4.0

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[.detection.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.