Table 3 The comparative results of the different algorithms.
From: Hybrid-YOLOv5 for object detection of non-ferrous metals in end-of-life vehicles
Algorithm | Precision(%) | Recall(%) | F1(%) | mAP@0.5(%) | FPS(Frames/s) |
|---|---|---|---|---|---|
YOLOv3 | 61.7 | 73.2 | 66.9 | 68.9 | 152 |
YOLOv5 | 71.9 | 80.7 | 76.1 | 74.9 | 43 |
YOLOv7 | 67.9 | 82.6 | 74.5 | 75.8 | 40 |
YOLOv11 | 38.8 | 84.7 | 53.1 | 61.8 | 102 |
Ours | 72.3 | 79.9 | 75.9 | 84.2 | 60 |
