Dataset Versions
v2
2023-10-29 11:46pm
Generated on Oct 29, 2023
1152 Total Images
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Dataset Split
Train Set 88%
1008Images
Valid Set 8%
96Images
Test Set 4%
48Images
Preprocessing
Auto-Orient: Applied
Auto-Adjust Contrast: Using Adaptive Equalization
Tile: 2 rows x 2 columns
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Saturation: Between -50% and +50%