Cassava Classification Computer Vision Model
19902 Total Images
View All Images
Dataset Split
Train Set 81%
16142Images
Valid Set 9%
1876Images
Test Set 10%
1884Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Grayscale: Applied
Auto-Adjust Contrast: Using Histogram Equalization
Augmentations
Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise, Upside Down