Table 4 Performance of YOLO11 variant models.
From: YOLO11-WLBS: an efficient model for pavement defect detection
Models | P | R | F1 | mAP@0.50 | mAP@0.50–0.95 | Para/M |
|---|---|---|---|---|---|---|
YOLO11n | 0.683 | 0.588 | 0.632 | 0.601 | 0.453 | 2.59 |
YOLO11s | 0.763 | 0.600 | 0.672 | 0.692 | 0.462 | 9.43 |
YOLO11m | 0.853 | 0.698 | 0.768 | 0.797 | 0.624 | 20.06 |
YOLO11l | 0.854 | 0.707 | 0.775 | 0.802 | 0.625 | 25.32 |
YOLO11x | 0.841 | 0.652 | 0.735 | 0.793 | 0.618 | 56.88 |