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2024-12-04 9:03pm
v23
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20 days ago
2024-12-04 8:00pm
v22
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20 days ago
2024-12-03 9:31pm
v21
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21 days ago
2024-12-03 9:29pm
v20
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21 days ago
2024-12-03 9:28pm
v19
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21 days ago
2024-12-02 10:42am
v18
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23 days ago
2024-12-02 10:22am
v17
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23 days ago
2024-12-02 10:12am
v16
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23 days ago
2024-12-02 10:10am
v15
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23 days ago
2024-12-02 10:00am
v13
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23 days ago
2024-11-29 10:19pm
v9
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25 days ago
2024-11-21 8:35am
v7
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a month ago
2024-11-21 8:24am
v4
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a month ago
2024-11-21 8:17am
v2
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a month ago
2024-11-09 12:33pm
v1
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2 months ago
v19

2024-12-03 9:28pm

Generated on Dec 3, 2024
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Dataset Split

Train Set 88%
840Images
Valid Set 4%
40Images
Test Set 8%
80Images

Preprocessing

Auto-Orient: Applied
Static Crop: 25-75% Horizontal Region, 25-75% Vertical Region
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Shear: ±10° Horizontal, ±10° Vertical
Noise: Up to 1% of pixels
Cutout: 4 boxes with 10% size each

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