Dataset Versions
v1
2024-01-17 1:48pm
Generated on Jan 17, 2024
1055 Total Images
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Dataset Split
Train Set 88%
924Images
Valid Set 8%
87Images
Test Set 4%
44Images
Preprocessing
Auto-Orient: Applied
Auto-Adjust Contrast: Using Adaptive Equalization
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise
Grayscale: Apply to 15% of images
Brightness: Between -22% and +22%