Table 2 Performance comparison with classical models.
From: Algorithm for detecting surface defects in wind turbines based on a lightweight YOLO model
Method | mAP@0.5(%) | Precision(%) | Recall(%) | Model size (M) | Frame rate(fps) |
|---|---|---|---|---|---|
SSD | 74.58 | 77.61 | 72.38 | 92.86 | 48 |
Faster-RCNN | 82.11 | 84.27 | 80.42 | 114.37 | 5 |
YOLOv5 | 85.29 | 86.25 | 84.06 | 5.01 | 64 |
YOLOv7-tiny | 87.35 | 88.34 | 86.89 | 14.32 | 59 |
YOLOv8n | 90.06 | 91.39 | 89.95 | 5.94 | 71 |
Ours | 95.13 | 95.71 | 91.73 | 4.01 | 83 |
