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Versions
2024-01-06 7:21pm
v3
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10 months ago
2024-01-06 5:05pm
v2
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10 months ago
2024-01-06 4:55pm
v1
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10 months ago
v3

2024-01-06 7:21pm

Generated on Jan 6, 2024
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11200 Total Images

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Dataset Split

Train Set 96%
10800Images
Valid Set 4%
400Images
Test Set %
0Images

Preprocessing

Auto-Orient: Applied

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -45° and +45°
Blur: Up to 2.5px

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