Leaf Detection and Segmentation Computer Vision Dataset
48 Total Images
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Dataset Split
Train Set 88%
42Images
Valid Set 8%
4Images
Test Set 4%
2Images
Preprocessing
Auto-Orient: Applied
Static Crop: 36-74% Horizontal Region, 23-76% Vertical Region
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
Rotation: Between -14° and +14°
Shear: ±10° Horizontal, ±10° Vertical
Brightness: Between -15% and +15%
Exposure: Between -10% and +10%
Blur: Up to 2.5px