Dataset Versions
Versions
v1
2024-04-04 4:23pm
Generated on Apr 4, 2024
133 Total Images
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Dataset Split
Train Set 88%
117Images
Valid Set 8%
11Images
Test Set 4%
5Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 32x32
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical
Grayscale: Apply to 15% of images
Saturation: Between -30% and +30%
Brightness: Between -15% and +15%
Noise: Up to 0.1% of pixels