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2023-11-04 9:51am
v4
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a year ago
2023-08-17 9:10pm
v3
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a year ago
2023-08-17 2:25am
v2
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a year ago
2023-08-07 9:22am
v1
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a year ago
v2

2023-08-17 2:25am

Generated on Aug 16, 2023
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2406 Total Images

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Dataset Split

Train Set 88%
2106Images
Valid Set 8%
202Images
Test Set 4%
98Images

Preprocessing

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

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -15° and +15°
Saturation: Between -25% and +25%
Brightness: Between -25% and +25%
Noise: Up to 5% of pixels
Mosaic: Applied

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