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2024-08-01 6:51am
v1
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4 months ago
v1

2024-08-01 6:51am

Generated on Aug 1, 2024
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981 Total Images

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Dataset Split

Train Set 86%
840Images
Valid Set 9%
92Images
Test Set 5%
49Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Contrast Stretching

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 1% Maximum Zoom
Rotation: Between -1° and +1°
Shear: ±1° Horizontal, ±1° Vertical
Grayscale: Apply to 1% of images
Hue: Between -1° and +1°
Saturation: Between -10% and +10%
Brightness: Between -10% and +10%
Exposure: Between -1% and +1%
Blur: Up to 0.1px
Noise: Up to 0.02% of pixels

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