Table 7.
YOLOv4 Analysis of the training process (mAP = 0.5, Testing sets = 166).
| Training | 500 | 1000 | 1500 |
| Iteration of model (×10k) | 88 | 115 | 100 |
| Best | 59.90 | 60.29 | 62.87 |
| Worst | 48.96 | 49.00 | 47.90 |
| Average | 55.84 | 54.96 | 57.83 |
YOLOv4 Analysis of the training process (mAP = 0.5, Testing sets = 166).
| Training | 500 | 1000 | 1500 |
| Iteration of model (×10k) | 88 | 115 | 100 |
| Best | 59.90 | 60.29 | 62.87 |
| Worst | 48.96 | 49.00 | 47.90 |
| Average | 55.84 | 54.96 | 57.83 |