f Dataset

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2024-09-18 3:53pm
v1
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4 days ago
v1

2024-09-18 3:53pm

Generated on Sep 18, 2024
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101 Total Images

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Dataset Split

Train Set 83%
84Images
Valid Set 14%
14Images
Test Set 3%
3Images

Preprocessing

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

Augmentations

Outputs per training example: 7
Rotation: Between -2° and +2°
Grayscale: Apply to 9% of images
Hue: Between -2° and +2°
Brightness: Between -2% and +2%
Exposure: Between -2% and +2%
Noise: Up to 0.1% of pixels

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