Dataset Versions

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2023-12-28 4:03pm
v7
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a year ago
2023-12-28 3:55pm
v6
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a year ago
2023-12-28 3:50pm
v5
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a year ago
2023-10-23 9:24pm
v4
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a year ago
2023-10-21 5:51pm
v3
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a year ago
2023-09-19 4:42pm
v2
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a year ago
2023-09-04 10:53am
v1
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a year ago
v2

2023-09-19 4:42pm

Generated on Sep 19, 2023
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Dataset Split

Train Set 94%
549Images
Valid Set 3%
19Images
Test Set 2%
14Images

Preprocessing

Auto-Orient: Applied

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise
Blur: Up to 2.75px
Noise: Up to 8% of pixels

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