rice-grading-normal Computer Vision Model
Versions
83 Total Images
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Dataset Split
Train Set 82%
68Images
Valid Set 12%
10Images
Test Set 6%
5Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 2
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down