Dataset Versions
v1
2023-03-16 4:51pm
Generated on Mar 16, 2023
6909 Total Images
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Dataset Split
Train Set 87%
6045Images
Valid Set 8%
576Images
Test Set 4%
288Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 28x28
Grayscale: Applied
Modify Classes: 1 remapped, 0 dropped
Augmentations
Outputs per training example: 3
Rotation: Between -8° and +8°
Shear: ±15° Horizontal, ±21° Vertical
Brightness: Between -32% and +32%
Blur: Up to 1.5px
Noise: Up to 5% of pixels