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Versions
2023-05-31 5:45pm
v3
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a year ago
2023-05-31 5:06pm
v2
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a year ago
2023-05-30 3:37pm
v1
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a year ago
v3

2023-05-31 5:45pm

Generated on May 31, 2023
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Dataset Split

Train Set 87%
864Images
Valid Set 8%
82Images
Test Set 4%
44Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

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

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