Semantic Segmentation Computer Vision Model
296 Total Images
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Dataset Split
Train Set 87%
258Images
Valid Set 8%
24Images
Test Set 5%
14Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
Brightness: Between -15% and +15%