Dataset Versions

Versions
2024-05-31 6:38pm
v12
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6 months ago
2024-05-31 6:14pm
v11
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6 months ago
2024-05-30 5:28am
v10
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6 months ago
2024-05-30 5:26am
v9
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6 months ago
2024-05-30 5:22am
v8
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6 months ago
2024-05-30 5:19am
v7
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6 months ago
2024-05-30 5:17am
v6
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6 months ago
2024-05-30 5:13am
v5
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6 months ago
2024-05-30 5:10am
v4
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6 months ago
2024-05-30 5:08am
v3
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6 months ago
2024-05-30 5:05am
v2
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6 months ago
2024-05-30 4:57am
v1
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6 months ago
v7

2024-05-30 5:19am

Generated on May 30, 2024
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Dataset Split

Train Set 92%
246Images
Valid Set 4%
11Images
Test Set 4%
11Images

Preprocessing

Auto-Orient: Applied
Resize: Fit (reflect edges) in 640x640

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -6° and +6°
Grayscale: Apply to 10% of images
Hue: Between -15° and +15°
Saturation: Between -18% and +18%
Brightness: Between -10% and +10%

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