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Versions
2024-08-09 3:18am
v13
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4 months ago
2024-06-14 5:17am
v12
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6 months ago
2024-06-04 5:51pm
v11
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7 months ago
2024-06-04 5:45pm
v10
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7 months ago
2024-06-04 5:29pm
v9
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7 months ago
2024-06-04 5:21pm
v8
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7 months ago
2024-05-09 5:33pm
v7
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7 months ago
2024-05-09 5:28pm
v6
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7 months ago
2024-05-08 3:50pm
v5
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7 months ago
2024-05-08 3:32pm
v4
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7 months ago
2023-06-08 2:35pm
v3
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2 years ago
2023-06-08 2:32pm
v2
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2 years ago
2023-06-08 2:30pm
v1
·
2 years ago
v9

2024-06-04 5:29pm

Generated on Jun 4, 2024
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203 Total Images

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Dataset Split

Train Set 87%
177Images
Valid Set 8%
17Images
Test Set 4%
9Images

Preprocessing

Resize: Fill (with center crop) in 320x320
Auto-Adjust Contrast: Using Contrast Stretching
Grayscale: Applied

Augmentations

Outputs per training example: 3
Crop: 0% Minimum Zoom, 28% Maximum Zoom
Grayscale: Apply to 15% of images
Saturation: Between -25% and +25%
Noise: Up to 1.95% of pixels

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