Model evaluation metrics for video object tracking problems.
Evaluates prediction quality of both labeled bounding boxes and
labeled tracks (i.e. series of bounding boxes sharing same label
and instance ID).
Attributes
Name
Description
evaluated_frame_count
int
Output only. The number of video frames used
to create this evaluation.
evaluated_bounding_box_count
int
Output only. The total number of bounding
boxes (i.e. summed over all frames) the ground
truth used to create this evaluation had.
bounding_box_metrics_entries
MutableSequence[google.cloud.automl_v1beta1.types.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.