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Versions
2022-11-03 3:11pm
v3
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2 years ago
2022-11-03 1:09pm
v2
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2 years ago
2022-11-02 3:41pm
v1
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2 years ago
v3

2022-11-03 3:11pm

Generated on Nov 3, 2022
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Dataset Split

Train Set 88%
126Images
Valid Set 8%
12Images
Test Set 4%
6Images

Preprocessing

Auto-Orient: Applied
Resize: Fit (black edges) in 640x640

Augmentations

Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise
Rotation: Between -25° and +25°
Saturation: Between -25% and +25%
Brightness: Between -25% and +25%
Blur: Up to 1.5px
Noise: Up to 5% of pixels

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