Table 2.
Comparison results of different models.
| Model | Precision (%) | Recall (%) | F1 (%) | mAP (%) | FPS | Model Size (M) |
|---|---|---|---|---|---|---|
| Faster R-CNN [11] | 59.74 | 81.78 | 69.50 | 76.53 | 10.45 | 108.64 |
| CenterNet [16] | 96.34 | 76.56 | 85.00 | 90.54 | 44.14 | 124.61 |
| SSD [17] | 91.31 | 77.11 | 83.50 | 88.53 | 33.86 | 100.27 |
| EffificientDet-D2 [29] | 96.51 | 60.10 | 72.00 | 76.92 | 15.64 | 31.2 |
| Ghost-YOLOv4 [43] | 90.77 | 84.07 | 87.00 | 89.83 | 36.78 | 43.6 |
| YOLOv4-Tiny [42] | 86.12 | 77.10 | 81.50 | 81.26 | 118.52 | 22.42 |
| YOLOv4 [15] | 91.80 | 85.30 | 88.50 | 92.46 | 23.02 | 243.92 |
| Improved YOLOv4 | 92.78 | 86.35 | 90.00 | 92.98 | 43.24 | 41.88 |