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2023-12-13 4:02pm
v5
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a year ago
2023-12-13 4:00pm
v4
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a year ago
2023-12-01 9:41am
v3
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a year ago
2023-11-16 11:17am
v2
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a year ago
2023-11-16 11:13am
v1
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a year ago
v2

2023-11-16 11:17am

Generated on Nov 16, 2023
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Dataset Split

Train Set 90%
2631Images
Valid Set 8%
233Images
Test Set 2%
59Images

Preprocessing

Auto-Orient: Applied

Augmentations

Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -45° and +45°
Shear: ±22° Horizontal, ±16° Vertical
Saturation: Between -45% and +45%
Exposure: Between -9% and +9%

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