Dataset Versions
Versions
v2
2024-11-05 5:51pm
Generated on Nov 5, 2024
62 Total Images
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Dataset Split
Train Set 87%
54Images
Valid Set 8%
5Images
Test Set 5%
3Images
Preprocessing
Resize: Fill (with center crop) in 128x128
Grayscale: Applied
Augmentations
Outputs per training example: 3
Rotation: Between -1° and +1°
Shear: ±3° Horizontal, ±3° Vertical
Brightness: Between -15% and +15%
Noise: Up to 1.25% of pixels