Table 3 Performance comparison of models using C3 and C3-DSConv.
From: An improved YOLOv5n algorithm for detecting surface defects in industrial components
Method | AP% | mAP@50 (%) | Params (M) | |||||
|---|---|---|---|---|---|---|---|---|
CR | IN | PA | PS | RS | SC | |||
C3 | 35.8 | 85.8 | 80.8 | 85.5 | 51.6 | 86.4 | 71 | 1.76 |
C3-DSConv | 36.8 | 86.9 | 81 | 86.2 | 53.2 | 88.4 | 72.1 | 2.01 |