Dataset Versions

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Versions
2024-09-24 6:46pm
v7
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2 months ago
2024-09-05 2:09am
v6
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3 months ago
2024-08-31 12:32am
v5
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3 months ago
2024-08-28 4:47am
v4
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3 months ago
2024-08-21 5:19am
v3
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3 months ago
2024-08-12 12:58am
v1
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3 months ago
v6

2024-09-05 2:09am

Generated on Sep 5, 2024
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Dataset Split

Train Set 88%
5595Images
Valid Set 7%
414Images
Test Set 6%
353Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization
Grayscale: Applied

Augmentations

Outputs per training example: 3
Grayscale: Apply to 5% of images
Hue: Between -15° and +15°
Saturation: Between -15% and +15%
Brightness: Between -14% and +14%
Exposure: Between -3% and +3%
Bounding Box: Noise: Up to 0.02% of pixels

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