Table 2.
Models | Map@0.6 | Precision |
---|---|---|
YOLOv5 + ResNet50 | 0.254 | 0.512 |
YOLOv5 | 0.244 | 0.494 |
Fast RCNN | 0.234 | 0.485 |
EfficientDet | 0.231 | 0.479 |
Models | Map@0.6 | Precision |
---|---|---|
YOLOv5 + ResNet50 | 0.254 | 0.512 |
YOLOv5 | 0.244 | 0.494 |
Fast RCNN | 0.234 | 0.485 |
EfficientDet | 0.231 | 0.479 |