Table 2.
Validation results of YOLOv8 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 | 0.674 | 0.605 | 0.623 | 0.395 |
Boneanomaly | 276 | 53 | 0.505 | 0.094 | 0.110 | 0.035 |
Bonelesion | 45 | 8 | 0.629 | 0.250 | 0.416 | 0.212 |
Fracture | 18090 | 3740 | 0.885 | 0.903 | 0.947 | 0.572 |
Metal | 818 | 168 | 0.878 | 0.899 | 0.920 | 0.768 |
Periostealreaction | 3453 | 697 | 0.645 | 0.684 | 0.689 | 0.357 |
Pronatorsign | 567 | 104 | 0.561 | 0.713 | 0.611 | 0.338 |
Softtissue | 464 | 89 | 0.324 | 0.315 | 0.251 | 0.125 |
text | 23722 | 4754 | 0.961 | 0.984 | 0.991 | 0.750 |