Table 4 Comparison of different object detection models.
Algorithm | P/% | R/% | F1-score | mAP@0.5 | mAP@0.5:0.95 |
|---|---|---|---|---|---|
RT-DETR49 | 83.1 | 78.5 | 80.7 | 77.7 | 58.7 |
YOLOv5n5 | 81.6 | 78.0 | 79.8 | 85.3 | 64.4 |
YOLOv6n6 | 77.9 | 74.9 | 76.4 | 80.9 | 60.8 |
YOLOv7-tiny7 | 83.6 | 80.2 | 81.9 | 87.3 | 64.4 |
YOLOv8n8 | 82.5 | 78.9 | 80.7 | 85.7 | 64.2 |
YOLOv9t9 | 77.6 | 75.6 | 76.6 | 82.6 | 62.3 |
YOLOv10n10 | 82.8 | 78.5 | 80.6 | 85.9 | 65.2 |
YOLOv11n11 | 82.1 | 79.0 | 80.5 | 86.1 | 64.7 |
YOLOv12n12 | 79.9 | 78.5 | 79.2 | 85.0 | 64.0 |
YOLOv13n13 | 77.9 | 73.3 | 75.5 | 80.7 | 60.6 |
Ours | 86.0 | 82.9 | 84.4 | 90.0 | 66.6 |
