cocoon_segmentation Computer Vision Model
1251 Total Images
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Dataset Split
Train Set 88%
1095Images
Valid Set 8%
104Images
Test Set 4%
52Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical
Blur: Up to 2.5px