K-melon_seg_prototype Computer Vision Model
280 Total Images
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Dataset Split
Train Set 86%
240Images
Valid Set 7%
20Images
Test Set 7%
20Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Contrast Stretching
Augmentations
Outputs per training example: 4
Flip: Horizontal, Vertical
Rotation: Between -15° and +15°
Brightness: Between -25% and +25%
Blur: Up to 0.8px
Noise: Up to 0.1% of pixels