cls_segmentation_patch_v2 Computer Vision Model
4352 Total Images
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Dataset Split
Train Set 95%
4145Images
Valid Set 2%
103Images
Test Set 3%
104Images
Preprocessing
Auto-Orient: Applied
Augmentations
Outputs per training example: 5
Flip: Horizontal, Vertical
90° Rotate: Applied
Rotation: Between -15° and +15°
Brightness: Between -15% and +15%
Exposure: Between -10% and +10%