Dataset Versions
v1
2023-10-09 10:45pm
Generated on Oct 9, 2023
408 Total Images
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Dataset Split
Train Set 91%
372Images
Valid Set 7%
28Images
Test Set 2%
8Images
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%