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2024-10-24 1:32pm
v24
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a month ago
2024-10-24 4:44am
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a month ago
2024-09-28 5:12am
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3 months ago
2024-08-26 10:14am
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3 months ago
2024-08-14 6:30am
v19
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4 months ago
2024-08-06 4:17am
v18
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4 months ago
2024-08-06 3:01am
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4 months ago
2024-08-04 12:10pm
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4 months ago
2024-07-19 1:36am
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5 months ago
2024-07-18 12:27am
v12
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2024-07-17 3:55am
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2024-07-09 2:40am
v8
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2024-07-08 5:11pm
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5 months ago
2024-07-08 1:30pm
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5 months ago
2024-07-04 8:35am
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5 months ago
2024-06-28 8:29am
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2024-06-26 3:18pm
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5 months ago
2024-06-26 3:09pm
v2
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5 months ago
2024-06-26 2:20pm
v1
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5 months ago
v19

2024-08-14 6:30am

Generated on Aug 14, 2024
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4010 Total Images

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Dataset Split

Train Set 97%
3871Images
Valid Set 2%
99Images
Test Set 1%
40Images

Preprocessing

Auto-Orient: Applied
Resize: Fit (white edges) in 1000x1000

Augmentations

Outputs per training example: 7
Flip: Horizontal, Vertical
90° Rotate: Applied
Crop: 0% Minimum Zoom, 30% Maximum Zoom
Rotation: Between -12° and +12°
Shear: ±10° Horizontal, ±21° Vertical
Grayscale: Apply to 15% of images
Saturation: Between -34% and +34%
Brightness: Between -16% and +16%
Exposure: Between -12% and +12%
Blur: Up to 0.8px
Noise: Up to 0.65% of pixels

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