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2022-12-13 10:55am
v15
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2 years ago
2022-12-12 11:15am
v14
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2 years ago
2022-12-12 11:12am
v13
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2 years ago
2022-12-12 11:07am
v12
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2 years ago
2022-12-12 11:04am
v11
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2 years ago
2022-12-12 3:29am
v10
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2 years ago
2022-12-11 9:28pm
v9
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2 years ago
2022-12-11 2:47pm
v8
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2 years ago
2022-12-10 9:00pm
v7
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2 years ago
2022-12-10 5:12pm
v6
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2 years ago
2022-12-10 5:09pm
v5
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2 years ago
2022-12-10 5:05pm
v4
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2 years ago
2022-12-07 12:10pm
v2
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2 years ago
2022-12-06 11:56am
v1
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2 years ago
v14

2022-12-12 11:15am

Generated on Dec 12, 2022
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732 Total Images

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Dataset Split

Train Set 98%
717Images
Valid Set 1%
9Images
Test Set 1%
6Images

Preprocessing

Auto-Orient: Applied

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Rotation: Between -15° and +15°
Hue: Between -14° and +14°
Saturation: Between -25% and +25%
Brightness: Between -19% and +19%
Exposure: Between -14% and +14%

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