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2023-12-23 11:51pm
v19
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a year ago
2023-12-23 11:50pm
v18
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a year ago
2023-12-23 11:47pm
v17
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a year ago
2023-12-23 11:27pm
v16
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a year ago
2023-12-23 10:49pm
v14
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a year ago
2023-12-23 5:21pm
v11
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a year ago
2023-12-22 12:36am
v10
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a year ago
2023-12-21 11:52pm
v9
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a year ago
2023-12-21 10:16pm
v8
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a year ago
2023-12-21 9:39pm
v7
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a year ago
2023-12-21 11:35am
v6
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a year ago
2023-12-20 11:59pm
v5
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a year ago
2023-12-20 11:32pm
v4
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a year ago
2023-12-20 10:47pm
v3
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a year ago
2023-12-20 7:34pm
v2
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a year ago
2023-12-20 7:18pm
v1
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a year ago
v9

2023-12-21 11:52pm

Generated on Dec 21, 2023
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615 Total Images

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Dataset Split

Train Set 100%
615Images
Valid Set %
0Images
Test Set %
0Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Saturation: Between -20% and +20%
Brightness: Between -13% and +13%
Exposure: Between -25% and +25%
Noise: Up to 4% of pixels

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