Void Segmentation Computer Vision Model
151 Total Images
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Dataset Split
Train Set 87%
132Images
Valid Set 9%
13Images
Test Set 4%
6Images
Preprocessing
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
Brightness: Between -19% and +19%