segmnetation Computer Vision Model
264 Total Images
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Dataset Split
Train Set 84%
222Images
Valid Set 11%
28Images
Test Set 5%
14Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 416x416
Auto-Adjust Contrast: Using Contrast Stretching
Grayscale: Applied
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical