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2024-11-10 9:53pm
v1
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2 months ago
v1

2024-11-10 9:53pm

Generated on Nov 10, 2024
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23991 Total Images

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Dataset Split

Train Set 87%
20991Images
Valid Set 8%
2000Images
Test Set 4%
1000Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -15° and +15°
Hue: Between -5° and +5°
Saturation: Between -10% and +10%
Brightness: Between -10% and +10%
Exposure: Between -10% and +10%
Noise: Up to 0.1% of pixels

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