segemntation model Computer Vision Model
162 Total Images
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Dataset Split
Train Set 89%
144Images
Valid Set 7%
11Images
Test Set 4%
7Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Modify Classes: 0 remapped, 4 dropped
Filter Null: Require all images to contain annotations.
Augmentations
Outputs per training example: 2
Saturation: Between -45% and +45%
Brightness: Between -15% and +15%
Blur: Up to 0.6px