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2024-06-17 6:35pm
v17
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6 months ago
2024-05-24 8:03pm
v16
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7 months ago
2024-05-24 8:02pm
v15
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7 months ago
2024-05-24 8:00pm
v14
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7 months ago
2024-05-24 7:59pm
v13
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7 months ago
2024-05-11 1:21pm
v12
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8 months ago
2024-05-11 1:19pm
v11
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8 months ago
2024-05-01 7:00pm
v10
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8 months ago
2024-04-23 9:54am
v9
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8 months ago
2024-03-01 8:13pm
v8
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10 months ago
2024-03-01 6:25pm
v7
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10 months ago
2024-03-01 6:19pm
v6
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10 months ago
2024-02-29 1:59pm
v2
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10 months ago
2024-02-29 1:58pm
v1
·
10 months ago
v1

2024-02-29 1:58pm

Generated on Feb 29, 2024
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3667 Total Images

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Dataset Split

Train Set 88%
3210Images
Valid Set 8%
305Images
Test Set 4%
152Images

Preprocessing

Auto-Orient: Applied
Static Crop: 25-75% Horizontal Region, 25-75% Vertical Region
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Histogram Equalization

Augmentations

Outputs per training example: 3
Flip: Horizontal
Crop: 0% Minimum Zoom, 21% Maximum Zoom
Rotation: Between -15° and +15°
Brightness: Between -20% and +20%
Blur: Up to 2.5px
Noise: Up to 0.5% of pixels

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