Islo-Study Computer Vision Model
111 Total Images
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Dataset Split
Train Set 78%
87Images
Valid Set 13%
14Images
Test Set 9%
10Images
Preprocessing
Auto-Orient: Applied
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Hue: Between -86° and +86°
Saturation: Between -56% and +56%
Blur: Up to 1px