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2024-06-21 11:21pm
v25
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7 months ago
2024-06-21 11:16pm
v24
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7 months ago
2024-06-20 9:19am
v23
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2024-06-20 9:19am
v22
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7 months ago
2024-06-20 9:19am
v21
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7 months ago
2024-06-20 9:18am
v20
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7 months ago
2024-06-20 9:18am
v19
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7 months ago
2024-06-20 9:18am
v18
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7 months ago
2024-06-20 9:18am
v17
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7 months ago
2024-06-20 9:18am
v16
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7 months ago
2024-06-20 9:17am
v15
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7 months ago
2024-06-13 4:04am
v14
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7 months ago
2024-06-13 4:03am
v13
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7 months ago
2024-06-13 4:01am
v12
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7 months ago
2024-06-13 4:01am
v11
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7 months ago
2024-06-13 4:00am
v10
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7 months ago
2024-06-01 7:42am
v1
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7 months ago
v13

2024-06-13 4:03am

Generated on Jun 13, 2024
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1248 Total Images

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Dataset Split

Train Set 88%
1092Images
Valid Set 8%
104Images
Test Set 4%
52Images

Preprocessing

Auto-Orient: Applied
Static Crop: 5-95% Horizontal Region, 10-95% Vertical Region

Augmentations

Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -10° and +10°
Shear: ±5° Horizontal, ±5° Vertical
Grayscale: Apply to 15% of images
Hue: Between -15° and +15°
Saturation: Between -25% and +25%
Brightness: Between -15% and +15%
Exposure: Between -10% and +10%
Blur: Up to 2.5px
Noise: Up to 0.26% of pixels

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