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Versions
2023-04-14 12:10am
v1
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2 years ago
v1

2023-04-14 12:10am

Generated on Apr 13, 2023
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6113 Total Images

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Dataset Split

Train Set 92%
5640Images
Valid Set 4%
236Images
Test Set 4%
237Images

Preprocessing

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

Augmentations

Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise
Crop: 0% Minimum Zoom, 27% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Saturation: Between -25% and +25%
Exposure: Between -25% and +25%

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