Test 2 Computer Vision Model
578 Total Images
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Dataset Split
Train Set 98%
567Images
Valid Set 1%
7Images
Test Set 1%
4Images
Preprocessing
Auto-Orient: Applied
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Grayscale: Apply to 15% of images
Blur: Up to 2.5px
Noise: Up to 0.1% of pixels