Human SkinType Classification Computer Vision Model
10677 Total Images
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Dataset Split
Train Set 92%
9876Images
Valid Set 4%
404Images
Test Set 4%
397Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 224x224
Auto-Adjust Contrast: Using Histogram Equalization
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
Rotation: Between -30° and +30°
Grayscale: Apply to 20% of images
Hue: Between -60° and +60°
Saturation: Between -15% and +15%
Exposure: Between -10% and +10%