semantic_segmentations Computer Vision Model
563 Total Images
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Dataset Split
Train Set 86%
483Images
Valid Set 8%
45Images
Test Set 6%
35Images
Preprocessing
Auto-Orient: Applied
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
Saturation: Between -33% and +33%
Blur: Up to 10.1px
Noise: Up to 1.56% of pixels