Table 5.
Comparison of metrics for different detection algorithms on the VisDrone2019 dataset.
| Method | Input Image Size | mAP50val (%) | mAP50test (%) | Params (M) | Size (M) | Timeval (ms) | Timetest (ms) | Average Speed/FPS |
|---|---|---|---|---|---|---|---|---|
| YOLOv3 | 640 | 39.2 | 32.6 | 61.55 | 123.6 | 25.2 | 19.2 | 22.2 |
| 1024 | 51.9 | 43.1 | 38.5 | 32.2 | 35.35 | |||
| YOLOv3-tiny | 640 | 16.5 | 14.1 | 8.69 | 17.5 | 7.0 | 5.3 | 6.15 |
| 1024 | 29.3 | 23.6 | 9.7 | 7.2 | 8.45 | |||
| YOLOX-s | 640 | 32.6 | 27.7 | 9.0 | 8.94 | 25.6 | 22.9 | 24.25 |
| 1024 | 40.3 | 34.1 | 28.7 | 26.4 | 27.55 | |||
| YOLOv7-tiny | 640 | 35.4 | 30.3 | 6.03 | 12.3 | 24.8 | 23.6 | 24.2 |
| 1024 | 45.2 | 38.1 | 26.8 | 25.4 | 26.1 | |||
| YOLOv8n | 640 | 33.4 | 27.2 | 3.01 | 6.2 | 12.9 | 6.2 | 9.55 |
| 1024 | 43.4 | 35.9 | 14.1 | 7.4 | 10.75 | |||
| YOLOv5s | 640 | 33.1 | 27.8 | 7.10 | 14.5 | 13.2 | 11.8 | 12.5 |
| 1024 | 45.1 | 38.0 | 17.8 | 16.0 | 16.9 | |||
| YOLOv5x | 640 | 40.8 | 34.2 | 86.28 | 173.2 | 28.1 | 27.0 | 27.55 |
| 1024 | 53.2 | 43.9 | 64 | 62.9 | 63.45 | |||
| MFP-YOLO | 640 | 46.0 | 35.8 | 1.48 | 3.81 | 30.8 | 26.2 | 28.5 |
| 1024 | 53.7 | 44.1 | 58 | 52.5 | 55.25 |