Dataset Versions
v1
2024-03-19 7:58pm
Generated on Mar 19, 2024
51000 Total Images
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Dataset Split
Train Set 82%
42000Images
Valid Set 12%
6000Images
Test Set 6%
3000Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 2
Shear: ±10° Horizontal, ±10° Vertical
Hue: Between -15° and +15°
Saturation: Between -25% and +25%
Brightness: Between -15% and +15%
Exposure: Between -10% and +10%
Blur: Up to 2.5px
Noise: Up to 0.1% of pixels