Dataset Versions
Versions
v1
2024-04-25 12:56pm
Generated on Apr 25, 2024
165 Total Images
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Dataset Split
Train Set 87%
144Images
Valid Set 8%
14Images
Test Set 4%
7Images
Preprocessing
Auto-Orient: Applied
Augmentations
Outputs per training example: 3
Rotation: Between -20° and +20°
Shear: ±10° Horizontal, ±10° Vertical
Grayscale: Apply to 9% of images
Saturation: Between -25% and +25%
Brightness: Between 0% and +30%
Exposure: Between -10% and +10%
Blur: Up to 2.5px
Noise: Up to 0.1% of pixels