Table 2.
Comparison of Counting Performance for Different Models.
| Model | MAE | RMSE | MAPE | R2 |
|---|---|---|---|---|
| YOLOv8 | 6.16 | 8.89 | 10.05% | 0.9035 |
| CenterNet | 12.67 | 17.77 | 18.75% | 0.6926 |
| Faster R-CNN | 16.56 | 19.22 | 34.95% | 0.7211 |
| TasselLFANet | 5.92 | 8.83 | 9.82% | 0.9002 |
| EfficientDet | 22.74 | 38.41 | 29.17% | 0.2777 |
| FCOS | 11.88 | 22.00 | 16.43% | 0.6537 |
| YOLO POD | 4.18 | 10.04 | 6.48% | 0.9666 |
| PodNet | 4.52 | 7.65 | 6.24% | 0.9500 |
The best performance is in boldface.