Table 3.
Validation results of our model for each class on the GRAZPEDWRI-DX dataset when the input image size is 1024.
| Class | Boxes | Instances | Precision | Recall | mAP 50 |
mAP 50-95 |
|---|---|---|---|---|---|---|
| All | 47435 | 9613 | 0.694 | 0.592 | 0.631 | 0.402 |
| Boneanomaly | 276 | 53 | 0.510 | 0.151 | 0.169 | 0.076 |
| Bonelesion | 45 | 8 | 0.658 | 0.243 | 0.414 | 0.213 |
| Fracture | 18090 | 3740 | 0.899 | 0.896 | 0.947 | 0.569 |
| Metal | 818 | 168 | 0.898 | 0.890 | 0.924 | 0.780 |
| Periostealreaction | 3453 | 697 | 0.721 | 0.654 | 0.700 | 0.359 |
| Pronatorsign | 567 | 104 | 0.534 | 0.683 | 0.611 | 0.342 |
| Softtissue | 464 | 89 | 0.367 | 0.236 | 0.241 | 0.120 |
| text | 23722 | 4754 | 0.961 | 0.981 | 0.991 | 0.754 |