Class BoundingBoxMetricsEntry (2.11.1)
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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.
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Last updated 2023-04-20 UTC.
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