oat]`):
                A list of thresholds used to stratify predictions into levels.
            labels (`list[int`):
                A list of values to label predictions belonging at each level. A label can be one of {-1, 0, 1}
                signifying {ignore, negative class, positive class}, respectively.
            allow_low_quality_matches (`bool`, *optional*, defaults to `False`):
                If `True`, produce additional matches for predictions with maximum match quality lower than
                high_threshold. See `set_low_quality_matches_` for more details.

            For example,
                thresholds = [0.3, 0.5] labels = [0, -1, 1] All predictions with iou < 0.3 will be marked with 0 and
                thus will be considered as false positives while training. All predictions with 0.3 <= iou < 0.5 will
                be marked with -1 and thus will be ignored. All predictions with 0.5 <= iou will be marked with 1 and
                thus will be considered as true positives.
        Nr