Dataset Versions
v6
2024-11-15 12:10am
Generated on Nov 14, 2024
3479 Total Images
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Dataset Split
Train Set 88%
3078Images
Valid Set 6%
199Images
Test Set 6%
202Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
Shear: ±7° Horizontal, ±14° Vertical
Hue: Between -20° and +20°
Saturation: Between -32% and +32%
Brightness: Between -11% and +11%
Exposure: Between -14% and +14%
Blur: Up to 1.4px
Noise: Up to 1.49% of pixels