TEst Segmentation Computer Vision Model
2457 Total Images
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Dataset Split
Train Set 88%
2157Images
Valid Set 6%
150Images
Test Set 6%
150Images
Preprocessing
Auto-Orient: Applied
Auto-Adjust Contrast: Using Contrast Stretching
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 28% Maximum Zoom
Grayscale: Apply to 100% of images
Saturation: Between -25% and +25%
Exposure: Between -11% and +11%
Blur: Up to 2.5px
Noise: Up to 1.01% of pixels