newsegment Computer Vision Model
1334 Total Images
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Dataset Split
Train Set 88%
1167Images
Valid Set 8%
111Images
Test Set 4%
56Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Contrast Stretching
Augmentations
Outputs per training example: 3
Flip: Horizontal
Rotation: Between -10° and +10°
Shear: ±10° Horizontal, ±15° Vertical
Hue: Between -5° and +5°
Saturation: Between -16% and +16%
Brightness: Between -15% and +15%
Exposure: Between -10% and +10%
Noise: Up to 0.1% of pixels