Colorchecker segmentation Computer Vision Model
1683 Total Images
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Dataset Split
Train Set 94%
1589Images
Valid Set 4%
64Images
Test Set 2%
30Images
Preprocessing
Auto-Orient: Applied
Resize: Fit (black edges) in 2000x2000
Filter by Tag: 1 required, 0 dropped
Augmentations
Outputs per training example: 7
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -15° and +15°
Grayscale: Apply to 15% of images
Hue: Between -15° and +15°
Saturation: Between -25% and +25%
Brightness: Between -15% and +15%
Exposure: Between -10% and +10%
Blur: Up to 0.2px
Noise: Up to 0.5% of pixels