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2024-09-11 7:54am
v1
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3 months ago
v1

2024-09-11 7:54am

Generated on Sep 11, 2024
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Dataset Split

Train Set 92%
282Images
Valid Set 5%
15Images
Test Set 4%
11Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 1280x1280
Auto-Adjust Contrast: Using Adaptive Equalization
Grayscale: Applied

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Grayscale: Apply to 25% 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 0px
Noise: Up to 0.1% of pixels

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