Dataset Versions
v2
2025-01-03 12:54pm
Generated on Jan 3, 2025
2493 Total Images
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Dataset Split
Train Set 91%
2274Images
Valid Set 6%
160Images
Test Set 2%
59Images
Preprocessing
Auto-Orient: Applied
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -11° and +11°
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 0.46% of pixels