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2023-10-20 8:03pm
v6
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a year ago
2023-08-21 8:31am
v5
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a year ago
2023-08-14 5:12am
v2
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a year ago
v5

2023-08-21 8:31am

Generated on Aug 21, 2023
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Dataset Split

Train Set 87%
2106Images
Valid Set 8%
201Images
Test Set 4%
101Images

Preprocessing

Auto-Orient: Applied
Static Crop: 25-75% Horizontal Region, 25-75% Vertical Region
Auto-Adjust Contrast: Using Histogram Equalization

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Rotation: Between -15° and +15°
Noise: Up to 5% of pixels
Cutout: 25 boxes with 4% size each
Mosaic: Applied
Bounding Box: Rotation: Between -15° and +15°

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