X-segmentation Computer Vision Model
256 Total Images
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Dataset Split
Train Set 70%
180Images
Valid Set 10%
26Images
Test Set 20%
50Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 432x432
Auto-Adjust Contrast: Using Adaptive Equalization
Grayscale: Applied
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
Crop: 0% Minimum Zoom, 22% Maximum Zoom
Shear: ±14° Horizontal, ±12° Vertical
Grayscale: Apply to 15% of images
Brightness: Between -22% and +22%
Exposure: Between -15% and +15%
Noise: Up to 1.72% of pixels