Dataset Versions
v2
2023-05-16 9:17pm
Generated on May 16, 2023
2338 Total Images
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Dataset Split
Train Set 87%
2043Images
Valid Set 8%
195Images
Test Set 4%
100Images
Preprocessing
Auto-Orient: Applied
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -15° and +15°
Saturation: Between -34% and +34%
Brightness: Between -30% and +30%
Noise: Up to 6% of pixels