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2024-02-06 6:55pm
v3
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a year ago
2024-02-06 6:09pm
v2
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a year ago
2024-02-06 2:24pm
v1
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a year ago
v3

2024-02-06 6:55pm

Generated on Feb 6, 2024
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17806 Total Images

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Dataset Split

Train Set 87%
15570Images
Valid Set 8%
1486Images
Test Set 4%
750Images

Preprocessing

Auto-Orient: Applied
Static Crop: 25-75% Horizontal Region, 25-75% Vertical Region
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization
Grayscale: Applied

Augmentations

Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Brightness: Between -15% and +15%
Noise: Up to 0.89% of pixels

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