Dataset Versions

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Versions
2024-09-20 5:30am
v1
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2 months ago
v1

2024-09-20 5:30am

Generated on Sep 20, 2024
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9737 Total Images

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Dataset Split

Train Set 88%
8565Images
Valid Set 10%
955Images
Test Set 2%
217Images

Preprocessing

Auto-Orient: Applied
Auto-Adjust Contrast: Using Adaptive Equalization

Augmentations

Outputs per training example: 3
Flip: Horizontal
Rotation: Between -15° and +15°
Hue: Between -15° and +15°
Brightness: Between -15% and +15%
Blur: Up to 2.5px

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