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2023-05-22 2:19pm
v5
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2 years ago
2023-05-21 10:03pm
v4
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2 years ago
2023-05-01 1:06am
v3
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2 years ago
2023-04-30 10:12pm
v2
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2 years ago
2023-04-30 2:44pm
v1
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2 years ago
v3

2023-05-01 1:06am

Generated on Apr 30, 2023
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Dataset Split

Train Set 92%
4044Images
Valid Set %
0Images
Test Set 8%
330Images

Preprocessing

Auto-Orient: Applied

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -10° and +10°
Brightness: Between -10% and +10%
Exposure: Between -10% and +10%
Blur: Up to 7.75px

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