Dataset Versions
Versions
v1
2023-09-30 11:14am
Generated on Sep 30, 2023
4063 Total Images
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Dataset Split
Train Set 87%
3555Images
Valid Set 8%
339Images
Test Set 4%
169Images
Preprocessing
Auto-Orient: Applied
Resize: Fit (black edges) in 180x60
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
Rotation: Between -2° and +2°
Grayscale: Apply to 8% of images
Hue: Between -9° and +9°
Saturation: Between -47% and +47%
Brightness: Between -21% and +21%
Exposure: Between -46% and +46%
Blur: Up to 1px
Noise: Up to 6% of pixels