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Versions
2024-06-09 4:30pm
v3
·
7 months ago
v3

2024-06-09 4:30pm

Generated on Jun 9, 2024
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20587 Total Images

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Dataset Split

Train Set 78%
16020Images
Valid Set 20%
4048Images
Test Set 3%
519Images

Preprocessing

Auto-Orient: Applied
Resize: Fit (black edges) in 640x640
Grayscale: Applied

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Grayscale: Apply to 20% of images
Hue: Between -15° and +15°
Saturation: Between -25% and +25%
Brightness: Between -15% and +15%
Exposure: Between -10% and +10%
Blur: Up to 1.1px

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