Dataset Versions
Versions
v1
2024-04-29 3:17pm
Generated on Apr 29, 2024
163 Total Images
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Dataset Split
Train Set 88%
144Images
Valid Set 9%
14Images
Test Set 3%
5Images
Preprocessing
Auto-Orient: Applied
Augmentations
Outputs per training example: 3
Rotation: Between -10° and +10°
Shear: ±10° Horizontal, ±10° Vertical
Hue: Between -15° and +15°
Saturation: Between -30% and +30%
Brightness: Between -18% and +18%
Blur: Up to 2.5px
Noise: Up to 0.1% of pixels