Pemupukan Computer Vision Dataset
274 Total Images
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Dataset Split
Train Set 88%
240Images
Valid Set 8%
23Images
Test Set 4%
11Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 224x224
Auto-Adjust Contrast: Using Adaptive Equalization
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
Brightness: Between -20% and +20%