Dataset Versions
v5
2024-11-18 7:43pm
Generated on Nov 19, 2024
35 Total Images
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Dataset Split
Train Set 86%
30Images
Valid Set 9%
3Images
Test Set 6%
2Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 1024x1024
Auto-Adjust Contrast: Using Histogram Equalization
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Blur: Up to 2.5px
Noise: Up to 1.01% of pixels