Table 3 Comparison of the accuracy of different models.
From: DSF-YOLO for robust multiscale traffic sign detection under adverse weather conditions
Model | P | R | mAP | F1 | Params | Flops |
|---|---|---|---|---|---|---|
YOLOv3-tiny51 | 0.638 | 0.475 | 0.512 | 0.53 | 12.17 | 19.1 |
YOLOv5n52 | 0.609 | 0.550 | 0.580 | 0.56 | 2.511 | 7.1 |
YOLOv5s | 0.768 | 0.633 | 0.718 | 0.69 | 9.128 | 23.9 |
YOLOv653 | 0.572 | 0.488 | 0.528 | 0.52 | 4.291 | 12 |
YOLOv8n54 YOLOv10n55 YOLO-worldv256 | 0.651 0.538 0.619 | 0.562 0.546 0.533 | 0.612 0.555 0.584 | 0.59 0.53 0.56 | 3.014 2.273 3.538 | 8.1 6.6 9.3 |
YOLOv11n | 0.573 | 0.538 | 0.579 | 0.54 | 2.590 | 6.4 |
YOLOv1257 | 0.628 | 0.521 | 0.557 | 0.415 | 2.565 | 6.4 |
DSF-YOLO(Ours) | 0.691 | 0.642 | 0.702 | 0.66 | 2.852 | 12.3 |
