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2023-08-16 12:55pm
v1
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a year ago
v1

2023-08-16 12:55pm

Generated on Aug 16, 2023
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104 Total Images

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Dataset Split

Train Set 87%
90Images
Valid Set 8%
8Images
Test Set 6%
6Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Modify Classes: 2 remapped, 0 dropped

Augmentations

Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 47% Maximum Zoom
Shear: ±23° Horizontal, ±25° Vertical
Blur: Up to 2.5px
Noise: Up to 10% of pixels

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