Dataset Versions
v1
2023-07-15 8:19am
Generated on Jul 15, 2023
1910 Total Images
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Dataset Split
Train Set 87%
1671Images
Valid Set 8%
159Images
Test Set 4%
80Images
Preprocessing
Auto-Orient: Applied
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Grayscale: Apply to 20% of images
Hue: Between -25° and +25°
Saturation: Between -25% and +25%
Brightness: Between -35% and +35%
Noise: Up to 5% of pixels