menu_1 Computer Vision Model
1656 Total Images
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Dataset Split
Train Set 90%
1491Images
Valid Set 6%
99Images
Test Set 4%
66Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Histogram Equalization
Augmentations
Outputs per training example: 3
Shear: ±15° Horizontal, ±15° Vertical
Blur: Up to 3.8px
Noise: Up to 0.38% of pixels