Table 6.
YOLOv3 Analysis of the training process (mAP = 0.5, Testing sets = 166).
| Training | 500 | 1000 | 1500 |
| Iteration of model (×10k) | 39 | 43 | 52 |
| Best | 55.50 | 52.78 | 57.52 |
| Worst | 45.09 | 44.35 | 50.47 |
| Average | 51.30 | 48.56 | 53.57 |
YOLOv3 Analysis of the training process (mAP = 0.5, Testing sets = 166).
| Training | 500 | 1000 | 1500 |
| Iteration of model (×10k) | 39 | 43 | 52 |
| Best | 55.50 | 52.78 | 57.52 |
| Worst | 45.09 | 44.35 | 50.47 |
| Average | 51.30 | 48.56 | 53.57 |