Dataset Versions
v5
bigger again-
Generated on May 12, 2024
264 Total Images
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Dataset Split
Train Set 91%
239Images
Valid Set 6%
16Images
Test Set 3%
9Images
Preprocessing
Auto-Orient: Applied
Auto-Adjust Contrast: Using Adaptive Equalization
Grayscale: Applied
Augmentations
Outputs per training example: 3
Brightness: Between -15% and +15%
Exposure: Between -10% and +10%
Blur: Up to 0.8px