zingiber-classification-counting final Computer Vision Model
734 Total Images
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Dataset Split
Train Set 88%
642Images
Valid Set 8%
61Images
Test Set 4%
31Images
Preprocessing
Auto-Orient: Applied
Resize: Fit (black edges) in 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
Rotation: Between -15° and +15°
Brightness: Between -15% and +15%
Blur: Up to 0.8px