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2025-01-07 1:42pm
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2025-01-07 1:42pm

Generated on Jan 7, 2025
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711 Total Images

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Dataset Split

Train Set 92%
657Images
Valid Set 4%
28Images
Test Set 4%
26Images

Preprocessing

Auto-Orient: Applied
Resize: Fit (reflect edges) in 960x960
Auto-Adjust Contrast: Using Adaptive Equalization
Filter Null: Require all images to contain annotations.

Augmentations

Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise
Crop: 0% Minimum Zoom, 10% Maximum Zoom
Rotation: Between -10° and +10°
Saturation: Between -15% and +15%
Brightness: Between -15% and +15%
Exposure: Between -10% and +10%
Noise: Up to 0.5% of pixels

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