Table 3.
Single fish behavior detect performance comparison.
| Method | Precision | Recall | F1-score | mAP50 (Detector) | FPS | Num. of parameters (Detector /Classifier) |
|---|---|---|---|---|---|---|
| Yolov4 + 3DCNN | 0.97 | 0.96 | 0.97 | 0.78 | 38.59 | 27.6 M/ 4.2 M |
| Yolov4 + C3D | 0.98 | 0.98 | 0.98 | 0.78 | 38.21 | 27.6 M/4.8 M |
| Yolov4 + Lite3D | 0.98 | 0.99 | 0.99 | 0.78 | 38.87 | 27.6 M/0.08 M |
| Faster-RCNN + DCG-DTW | 0.84 | 0.80 | 0.82 | 0.50 | 27.26 | 6.5 M/NA |
| Yolov4 + DCG -DTW | 0.79 | 0.56 | 0.66 | 0.35 | 17.38 | 27.6 M/NA |
| EfficientDet-D1 + DCG -DTW | 0.55 | 0.61 | 0.58 | 0.41 | 17.13 | 6.6 M/NA |
| BCS-YOLOv5 | 0.93 | 0.93 | 0.93 | 0.97 | 55 | 9 M/NA |