Dataset Versions
Versions
v1
2024-08-05 9:18am
Generated on Aug 5, 2024
388 Total Images
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Dataset Split
Train Set 87%
339Images
Valid Set 9%
33Images
Test Set 4%
16Images
Preprocessing
Auto-Orient: Applied
Augmentations
Outputs per training example: 3
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical
Saturation: Between -25% and +25%
Brightness: Between -15% and +15%
Exposure: Between -10% and +10%
Blur: Up to 2.5px