Table 1 Yolov5-8 results comparison.
From: Optimized YOLOv8 framework for intelligent rockfall detection on mountain roads
Model | AP@0.5 | AP@0.75 | Parameters | GFLOPs |
|---|---|---|---|---|
Yolov5 | 0.874 | 0.480 | 7,053,910 | 16.3 |
Yolov6 | 0.862 | 0.487 | 4,854,906 | 11.4 |
Yolov7 | 0.864 | 0.445 | 6,007,596 | 13.0 |
Yolov8 | 0.878 | 0.507 | 3,005,843 | 8.1 |
