Dataset Versions
v1
2024-11-18 11:49am
Generated on Nov 18, 2024
1622 Total Images
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Dataset Split
Train Set 87%
1419Images
Valid Set 8%
135Images
Test Set 4%
68Images
Preprocessing
Auto-Orient: Applied
Grayscale: Applied
Auto-Adjust Contrast: Using Histogram Equalization
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
Brightness: Between -20% and +20%
Exposure: Between -20% and +20%
Blur: Up to 2px
Noise: Up to 2.83% of pixels