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2024-05-27 2:07pm
v12
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6 months ago
2024-05-26 2:13pm
v11
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6 months ago
2024-05-26 12:25pm
v10
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6 months ago
2024-05-25 1:00pm
v9
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6 months ago
2024-05-24 11:27pm
v8
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6 months ago
2024-05-24 1:58pm
v7
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6 months ago
2024-05-24 12:01pm
v6
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6 months ago
2024-05-24 11:44am
v5
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6 months ago
2024-05-22 2:54pm
v4
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6 months ago
2024-05-19 6:28pm
v3
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6 months ago
2024-05-12 7:40am
v2
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7 months ago
2024-04-24 11:41pm
v1
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7 months ago
v2

2024-05-12 7:40am

Generated on May 11, 2024
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928 Total Images

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Dataset Split

Train Set 78%
726Images
Valid Set 7%
64Images
Test Set 15%
138Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Grayscale: Applied

Augmentations

Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical
Grayscale: Apply to 15% of images
Brightness: Between -15% and +15%
Exposure: Between -10% and +10%
Blur: Up to 2.5px
Noise: Up to 0.1% of pixels

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