CF classification Computer Vision Model
2152 Total Images
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Dataset Split
Train Set 88%
1884Images
Valid Set 8%
180Images
Test Set 4%
88Images
Preprocessing
Tile: 2 rows x 2 columns
Auto-Orient: Applied
Augmentations
Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise
Crop: 0% Minimum Zoom, 37% Maximum Zoom
Shear: ±15° Horizontal, ±15° Vertical