Cassava Classification Computer Vision Model
20623 Total Images
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Dataset Split
Train Set 82%
16863Images
Valid Set 9%
1876Images
Test Set 9%
1884Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Histogram Equalization
Augmentations
Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Hue: Between -16° and +16°