Models | Number of Images | Precision | Recall | F1 Score | mAP | mAP (0.95) |
Mask-RCNN | 200 | 0.796 | 0.913 | 0.850 | - | - |
YOLOv5 | 200 | 0.942 | 0.961 | 0.951 | 0.972 | 0.688 |
YOLOv7 | 200 | 0.972 | 0.947 | 0.959 | 0.963 | 0.677 |