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Versions
2023-05-16 12:44am
v1
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2 years ago
v1

2023-05-16 12:44am

Generated on May 15, 2023
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11105 Total Images

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Dataset Split

Train Set 82%
9108Images
Valid Set 12%
1320Images
Test Set 6%
677Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 256x256
Auto-Adjust Contrast: Using Histogram Equalization

Augmentations

Outputs per training example: 2
Flip: Horizontal, Vertical
Grayscale: Apply to 25% of images
Saturation: Between -25% and +25%
Blur: Up to 2.5px

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