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Class BoundingBoxMetricsEntry
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Version 2.7.1 keyboard_arrow_down
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_v1.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.
Inheritance
builtins.object
>
proto.message.Message
>
BoundingBoxMetricsEntry
Classes
ConfidenceMetricsEntry
ConfidenceMetricsEntry ( mapping = None , * , ignore_unknown_fields = False , ** kwargs )
Metrics for a single confidence threshold.
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Last updated 2025-01-17 UTC.
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