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Version 01
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a year ago
v1

Version 01

Generated on Nov 2, 2023
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Dataset Split

Train Set 92%
13092Images
Valid Set 4%
555Images
Test Set 4%
559Images

Preprocessing

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

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Rotation: Between -15° and +15°
Saturation: Between -25% and +25%
Exposure: Between -25% and +25%
Blur: Up to 1px

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