Dataset Versions
v6
2024-11-20 2:13pm
Generated on Nov 20, 2024
15935 Total Images
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Dataset Split
Train Set 88%
13944Images
Valid Set 8%
1325Images
Test Set 4%
666Images
Preprocessing
Auto-Orient: Applied
Static Crop: 10-90% Horizontal Region, 10-90% Vertical Region
Resize: Fit (reflect edges) in 640x800
Grayscale: Applied
Augmentations
Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical
Blur: Up to 1px
Noise: Up to 0.1% of pixels