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.
[[["Easy to understand","easyToUnderstand","thumb-up"],["Solved my problem","solvedMyProblem","thumb-up"],["Other","otherUp","thumb-up"]],[["Hard to understand","hardToUnderstand","thumb-down"],["Incorrect information or sample code","incorrectInformationOrSampleCode","thumb-down"],["Missing the information/samples I need","missingTheInformationSamplesINeed","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2024-12-13 UTC."],[],[]]