Dataset Versions
v4
2024-11-04 8:51am
Generated on Nov 4, 2024
175 Total Images
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Dataset Split
Train Set 91%
159Images
Valid Set 8%
14Images
Test Set 1%
2Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 128x128
Augmentations
Outputs per training example: 3
Flip: Horizontal
Rotation: Between -15° and +15°
Shear: ±13° Horizontal, ±15° Vertical
Saturation: Between -33% and +33%
Blur: Up to 4.9px
Noise: Up to 1.96% of pixels