Dataset Versions
v3
2023-12-01 5:28pm
Generated on Dec 1, 2023
1347 Total Images
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Dataset Split
Train Set 88%
1179Images
Valid Set 8%
112Images
Test Set 4%
56Images
Preprocessing
Auto-Orient: Applied
Auto-Adjust Contrast: Using Histogram Equalization
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
Hue: Between -58° and +58°
Saturation: Between -62% and +62%
Brightness: Between -34% and +34%