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2023-12-22 1:54pm
v17
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a year ago
2023-12-21 11:12am
v16
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a year ago
2023-12-21 11:10am
v15
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2023-12-21 10:59am
v14
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2023-12-21 10:55am
v13
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a year ago
2023-12-20 10:30pm
v12
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a year ago
2023-12-13 9:21pm
v11
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a year ago
2023-12-11 3:20pm
v10
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a year ago
2023-12-09 3:14pm
v9
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a year ago
2023-12-08 9:45pm
v8
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2023-12-08 9:43pm
v7
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a year ago
2023-12-08 9:18pm
v6
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a year ago
2023-12-08 8:46pm
v5
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a year ago
2023-12-03 9:38pm
v4
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a year ago
2023-12-02 3:54pm
v3
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a year ago
2023-12-01 6:38pm
v2
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a year ago
2023-12-01 5:44pm
v1
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a year ago
v13

2023-12-21 10:55am

Generated on Dec 21, 2023
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471 Total Images

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Dataset Split

Train Set 89%
417Images
Valid Set 6%
29Images
Test Set 5%
25Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Contrast Stretching

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -19° and +19°
Saturation: Between -30% and +30%
Brightness: Between -15% and +15%
Blur: Up to 1px
Noise: Up to 1% of pixels
Bounding Box: 90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Bounding Box: Brightness: Between -25% and +25%
Bounding Box: Noise: Up to 1% of pixels

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