Dataset Versions
Versions
v2
Augmented Dataset
Generated on Oct 2, 2023
181 Total Images
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Dataset Split
Train Set 88%
159Images
Valid Set 8%
14Images
Test Set 4%
8Images
Preprocessing
Auto-Orient: Applied
Resize: Fit within 640x640
Augmentations
Outputs per training example: 3
Rotation: Between -20° and +20°
Shear: ±5° Horizontal, ±5° Vertical
Brightness: Between -40% and +40%
Exposure: Between -31% and +31%