Dataset Versions

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Versions
2024-06-13 1:31pm
v11
·
7 months ago
2024-06-12 10:00pm
v10
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7 months ago
2024-06-03 1:46am
v9
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7 months ago
2024-06-03 1:29am
v8
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7 months ago
2024-06-03 12:54am
v7
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7 months ago
2024-06-02 1:39pm
v6
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7 months ago
2024-06-02 1:16pm
v5
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7 months ago
2024-06-02 1:16pm
v4
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7 months ago
2024-06-02 1:02pm
v3
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7 months ago
2024-06-02 12:47pm
v2
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7 months ago
2024-06-02 12:43pm
v1
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7 months ago
v7

2024-06-03 12:54am

Generated on Jun 2, 2024
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1618 Total Images

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Dataset Split

Train Set 92%
1482Images
Valid Set 5%
86Images
Test Set 3%
50Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

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

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