Dataset Versions

v5

V4-contrast-grayScale

Generated on Mar 2, 2022

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Dataset Split

Train Set 86%
120Images
Valid Set 9%
13Images
Test Set 5%
7Images

Preprocessing

Auto-Orient: Applied
Grayscale: Applied
Auto-Adjust Contrast: Using Adaptive Equalization

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down

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