Dataset Versions
Versions
v1
2023-03-16 10:52am
Generated on Mar 16, 2023
6579 Total Images
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Dataset Split
Train Set 88%
5757Images
Valid Set 8%
548Images
Test Set 4%
274Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 28x28
Grayscale: Applied
Modify Classes: 36 remapped, 0 dropped
Augmentations
Outputs per training example: 3
Rotation: Between -8° and +8°
Shear: ±15° Horizontal, ±15° Vertical
Brightness: Between -32% and +32%
Blur: Up to 1.5px
Noise: Up to 5% of pixels