leather_defect_detection Dataset

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2023-05-29 4:00pm
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a year ago
2023-05-10 4:20pm
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2023-05-10 3:55pm
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2023-05-10 3:42pm
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2023-05-10 3:42pm

Generated on May 10, 2023
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Dataset Split

Train Set 89%
204Images
Valid Set 8%
19Images
Test Set 2%
5Images

Preprocessing

No preprocessing steps were applied.

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -20° and +20°
Saturation: Between -40% and +40%
Brightness: Between -30% and +30%
Exposure: Between -10% and +10%
Blur: Up to 2px

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