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2024-06-16 8:12pm
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2024-06-05 3:30pm

Generated on Jun 5, 2024
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Dataset Split

Train Set 81%
1512Images
Valid Set 11%
212Images
Test Set 8%
149Images

Preprocessing

Auto-Orient: Applied
Resize: Fit (black edges) in 640x640
Modify Classes: 12 remapped, 6 dropped

Augmentations

Outputs per training example: 4
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical
Hue: Between -15° and +15°
Saturation: Between -25% and +25%
Brightness: Between -15% and +15%
Exposure: Between -10% and +10%
Blur: Up to 2.5px
Noise: Up to 0.1% of pixels

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