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2024-07-15 8:35am
v1
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4 months ago
v1

2024-07-15 8:35am

Generated on Jul 15, 2024
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4355 Total Images

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Dataset Split

Train Set 93%
4066Images
Valid Set 4%
192Images
Test Set 2%
97Images

Preprocessing

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

Augmentations

Outputs per training example: 2
Shear: ±10° Horizontal, ±10° Vertical
Grayscale: Apply to 12% of images
Exposure: Between -10% and +10%
Blur: Up to 2.5px
Noise: Up to 0.18% of pixels

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