Dataset Versions
v2
2024-11-26 2:40pm
Generated on Nov 26, 2024
9232 Total Images
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Dataset Split
Train Set 84%
7776Images
Valid Set 9%
844Images
Test Set 7%
612Images
Preprocessing
Auto-Orient: Applied
Grayscale: Applied
Auto-Adjust Contrast: Using Adaptive Equalization
Tile: 2 rows x 2 columns
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
Hue: Between -20° and +20°
Blur: Up to 3.9px
Noise: Up to 0.77% of pixels