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2023-01-22 2:58pm
v1
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2 years ago
v1

2023-01-22 2:58pm

Generated on Jan 22, 2023
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14739 Total Images

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Dataset Split

Train Set 81%
12000Images
Valid Set 9%
1379Images
Test Set 9%
1360Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Modify Classes: 0 remapped, 1 dropped

Augmentations

Outputs per training example: 2
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -45° and +45°
Shear: ±15° Horizontal, ±15° Vertical
Noise: Up to 5% of pixels

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