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Versions
2023-04-28 2:06pm
v6
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2 years ago
2023-04-28 2:06pm
v5
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2 years ago
2023-04-28 2:06pm
v4
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2 years ago
2023-04-28 2:06pm
v3
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2 years ago
2023-04-28 2:03pm
v2
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2 years ago
2023-03-15 1:27pm
v1
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2 years ago
v5

2023-04-28 2:06pm

Generated on Apr 28, 2023
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55 Total Images

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Dataset Split

Train Set 87%
48Images
Valid Set 7%
4Images
Test Set 5%
3Images

Preprocessing

Auto-Orient: Applied

Augmentations

Outputs per training example: 3
Hue: Between -20° and +20°
Saturation: Between -35% and +35%
Brightness: Between -20% and +20%
Exposure: Between -17% and +17%

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