Critical RFO Detection on Internal Real Radiographs (test)
56.4mAP@0.3RetinaNet
Evaluation results
| Method | Links | |||||
|---|---|---|---|---|---|---|
| RetinaNetTraining Set=Base+20002026.05 | 56.4 | 36.36 | 4.26 | 0.727 | 95.4 | |
| Faster R-CNNTraining Set=Base+20002026.05 | 51 | 33.33 | 3.93 | 0.636 | 95.4 | |
| RetinaNetTraining Set=Base+10002026.05 | 45.5 | 54.55 | 6.23 | 0.667 | 93.8 | |
| Faster R-CNNTraining Set=Base+10002026.05 | 39 | 60.61 | 6.87 | 0.455 | 93.1 | |
| RetinaNetTraining Set=Base+5002026.05 | 36.4 | 63.64 | 7.17 | 0.485 | 93.1 | |
| YOLOv8lTraining Set=Base+10002026.05 | 35.7 | 60.61 | 6.87 | 0.394 | 93.1 | |
| YOLOv8lTraining Set=Base+20002026.05 | 35.5 | 63.64 | 7.24 | 0.394 | 92.1 | |
| Faster R-CNNTraining Set=Base+5002026.05 | 30.4 | 66.67 | 7.48 | 0.424 | 92.8 | |
| YOLOv8lTraining Set=Base+5002026.05 | 29 | 69.7 | 7.85 | 0.303 | 91.8 | |
| Faster R-CNNTraining Set=Base2026.05 | 18.4 | 78.79 | 8.72 | 0.242 | 67.2 | |
| RetinaNetTraining Set=Base2026.05 | 9.9 | 72.73 | 8.11 | 0.455 | 92.1 | |
| YOLOv8lTraining Set=Base2026.05 | 0 | 100 | 10.82 | — | 89.2 |