Table 5 Comparison of detection accuracy of models on different defects.
From: Research on steel surface defect classification method based on deep learning
Model | crazing | inclusion | patches | pitted _surface | rolled-in_scale | scratches | mAP |
|---|---|---|---|---|---|---|---|
YOLOv5l | 0.537 | 0.836 | 0.895 | 0.734 | 0.668 | 0.874 | 0.757 |
YOLOv5-KBS | 0.580 | 0.828 | 0.922 | 0.841 | 0.652 | 0.970 | 0.799 |