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2024-12-18 2:04pm
v1
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22 days ago
v1

2024-12-18 2:04pm

Generated on Dec 18, 2024
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6484 Total Images

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Dataset Split

Train Set 87%
5673Images
Valid Set 8%
541Images
Test Set 4%
270Images

Preprocessing

Auto-Orient: Applied
Static Crop: 1-99% Horizontal Region, 1-99% Vertical Region
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Contrast Stretching
Grayscale: Applied

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 5% of images
Hue: Between -10° and +10°
Saturation: Between -10% and +10%
Brightness: Between -10% and +10%
Exposure: Between -5% and +5%
Blur: Up to 0.1px
Noise: Up to 0.02% of pixels

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