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Versions
2024-09-13 6:56am
v3
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2 months ago
2024-09-13 6:44am
v2
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2 months ago
2024-09-12 6:16pm
v1
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2 months ago
v2

2024-09-13 6:44am

Generated on Sep 13, 2024
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2380 Total Images

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Dataset Split

Train Set 87%
2082Images
Valid Set 8%
199Images
Test Set 4%
99Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Grayscale: Applied

Augmentations

Outputs per training example: 3
Flip: Horizontal
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Shear: ±10° Horizontal, ±10° Vertical
Grayscale: Apply to 15% of images
Noise: Up to 0.1% of pixels

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