UA_project_5 Computer Vision Model
Versions
150 Total Images
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Dataset Split
Train Set 88%
132Images
Valid Set 9%
14Images
Test Set 3%
4Images
Preprocessing
Auto-Orient: Applied
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -15° and +15°
Shear: ±13° Horizontal, ±13° Vertical