Dataset Versions
v2
2023-11-05 8:30pm
Generated on Nov 5, 2023
522 Total Images
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Dataset Split
Train Set 97%
504Images
Valid Set 2%
12Images
Test Set 1%
6Images
Preprocessing
Auto-Orient: Applied
Auto-Adjust Contrast: Using Adaptive Equalization
Grayscale: Applied
Augmentations
Outputs per training example: 3
Saturation: Between -54% and +54%
Brightness: Between -40% and +40%
Exposure: Between -30% and +30%
Noise: Up to 7% of pixels