Dataset Versions

Versions
2024-02-07 11:45pm
v17
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9 months ago
2024-02-07 11:35pm
v16
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9 months ago
2024-02-07 11:32pm
v15
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9 months ago
2024-02-07 11:04pm
v14
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9 months ago
2024-02-07 10:59pm
v13
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9 months ago
2024-02-07 10:49pm
v12
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9 months ago
2024-02-07 9:13pm
v11
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9 months ago
2024-02-07 9:06pm
v10
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9 months ago
2024-02-07 8:49pm
v9
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9 months ago
2024-02-07 5:57pm
v8
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9 months ago
2024-02-07 2:07pm
v7
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10 months ago
2024-02-07 11:00am
v6
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10 months ago
2024-02-07 9:40am
v5
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10 months ago
2024-02-06 1:41am
v4
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10 months ago
2024-02-05 10:28pm
v3
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10 months ago
2024-02-05 9:48pm
v2
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10 months ago
Medc
v1
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10 months ago
v2

2024-02-05 9:48pm

Generated on Feb 5, 2024
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1989 Total Images

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Dataset Split

Train Set 87%
1740Images
Valid Set 8%
166Images
Test Set 4%
83Images

Preprocessing

Auto-Orient: Applied
Static Crop: 25-74% Horizontal Region, 25-75% Vertical Region
Resize: Fit within 640x500
Auto-Adjust Contrast: Using Contrast Stretching

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 0% Maximum Zoom
Rotation: Between -45° and +45°
Shear: ±23° Horizontal, ±24° Vertical
Saturation: Between -18% and +18%
Brightness: Between -22% and +22%
Exposure: Between -11% and +11%
Blur: Up to 2.5px

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