Class ImageObjectDetectionEvaluationMetrics (2.1.0)

Version 2.1.0

• 2.14.1 (latest)
• 2.14.0
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• 2.12.0
• 2.11.4
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ImageObjectDetectionEvaluationMetrics(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Model evaluation metrics for image object detection problems. Evaluates prediction quality of labeled bounding boxes.

Attributes

Name	Description
evaluated_bounding_box_count	int Output only. The total number of bounding boxes (i.e. summed over all images) the ground truth used to create this evaluation had.
bounding_box_metrics_entries	Sequence[.detection.BoundingBoxMetricsEntry] Output only. The bounding boxes match metrics for each Intersection-over-union threshold 0.05,0.10,...,0.95,0.96,0.97,0.98,0.99 and each label confidence threshold 0.05,0.10,...,0.95,0.96,0.97,0.98,0.99 pair.
bounding_box_mean_average_precision	float Output only. The single metric for bounding boxes evaluation: the mean_average_precision averaged over all bounding_box_metrics_entries.