Dataset Versions
v1
2024-06-22 3:08pm
Generated on Jun 22, 2024
82 Total Images
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Dataset Split
Train Set 88%
72Images
Valid Set 9%
7Images
Test Set 4%
3Images
Preprocessing
Auto-Orient: Applied
Auto-Adjust Contrast: Using Histogram Equalization
Augmentations
Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise
Saturation: Between -25% and +25%
Exposure: Between -15% and +15%