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2023-05-07 11:02am
v1
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2 years ago
v1

2023-05-07 11:02am

Generated on May 7, 2023
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Dataset Split

Train Set 87%
195Images
Valid Set 7%
16Images
Test Set 6%
13Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Contrast Stretching
Filter Null: Require at least 70% of images to contain annotations.

Augmentations

Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise
Crop: 0% Minimum Zoom, 36% Maximum Zoom
Noise: Up to 5% of pixels
Cutout: 3 boxes with 10% size each

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