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2024-07-07 7:56am
v14
·
5 months ago
2024-05-24 1:58pm
v13
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7 months ago
2024-05-21 11:48pm
v12
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7 months ago
2024-05-07 4:50pm
v11
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7 months ago
2024-05-07 4:45pm
v10
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7 months ago
2024-05-07 4:38pm
v9
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7 months ago
2024-04-29 11:40am
v8
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7 months ago
2024-04-23 3:53pm
v7
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8 months ago
2024-04-23 3:51pm
v6
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8 months ago
2024-04-18 1:01pm
v5
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8 months ago
2024-04-18 11:46am
v4
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8 months ago
2024-04-18 11:19am
v3
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8 months ago
2024-04-18 9:52am
v2
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8 months ago
2024-04-16 3:24pm
v1
·
8 months ago
v12

2024-05-21 11:48pm

Generated on May 21, 2024
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894 Total Images

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Dataset Split

Train Set 88%
786Images
Valid Set 8%
73Images
Test Set 4%
35Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization
Grayscale: Applied

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise
Grayscale: Apply to 22% of images
Hue: Between -19° and +19°
Saturation: Between -25% and +25%
Brightness: Between -15% and +15%
Exposure: Between -3% and +3%
Blur: Up to 0px
Noise: Up to 0.54% of pixels

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