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2023-09-19 6:37pm
v4
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a year ago
2023-09-11 8:32am
v3
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a year ago
2023-09-09 4:10pm
v2
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a year ago
2023-09-07 9:14pm
v1
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a year ago
v4

2023-09-19 6:37pm

Generated on Sep 19, 2023
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Dataset Split

Train Set 89%
381Images
Valid Set 9%
38Images
Test Set 3%
11Images

Preprocessing

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

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -15° and +15°
Noise: Up to 5% of pixels

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