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Versions
2023-05-04 12:47am
v6
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2 years ago
2023-05-03 11:44am
v5
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2 years ago
2023-05-01 10:19pm
v4
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2 years ago
2023-04-29 4:57pm
v3
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2 years ago
2023-04-29 1:57pm
v2
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2 years ago
2023-04-29 1:55pm
v1
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2 years ago
v6

2023-05-04 12:47am

Generated on May 3, 2023
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1974 Total Images

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Dataset Split

Train Set 87%
1719Images
Valid Set 8%
155Images
Test Set 5%
100Images

Preprocessing

Auto-Orient: Applied

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Grayscale: Apply to 15% of images
Mosaic: Applied

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