Fracture Labeling Model Computer Vision Model
Versions
115 Total Images
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Dataset Split
Train Set 85%
98Images
Valid Set 10%
11Images
Test Set 5%
6Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Contrast Stretching
Augmentations
Outputs per training example: 2
Flip: Horizontal
90° Rotate: Applied
Rotation: Between -15° and +15°