TABLE 1.
Algorithm structure of improved YOLOv5s.
| Number of layers | From | Parameter quantity | Module name |
| 0 | −1 | 3520 | Focus |
| 1 | −1 | 18560 | Conv |
| 2 | −1 | 18819 | ECA-C3 |
| 3 | −1 | 73984 | Conv |
| 4 | −1 | 115715 | ECA-C3 |
| 5 | −1 | 295424 | Conv |
| 6 | −1 | 625155 | ECA-C3 |
| 7 | −1 | 1180672 | Conv |
| 8 | −1 | 656896 | SPP |
| 9 | −1 | 1182723 | ECA-C3 |
| 10 | −1 | 131584 | Conv |
| 11 | −1 | 0 | Upsample |
| 12 | [−1,6] | 0 | Concat |
| 13 | −1 | 361984 | C3 |
| 14 | −1 | 33024 | Conv |
| 15 | −1 | 0 | Upsample |
| 16 | [−1,4] | 0 | Concat |
| 17 | −1 | 90880 | C3 |
| 18 | −1 | 147712 | Conv |
| 19 | [−1,14] | 0 | Concat |
| 20 | −1 | 296448 | C3 |
| 21 | −1 | 590336 | Conv |
| 22 | [−1,10] | 0 | Concat |
| 23 | −1 | 1182720 | C3 |
| 24 | [17,20,23] | 8622262 | Detect |