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2023-06-22 3:20pm
v1
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a year ago
v1

2023-06-22 3:20pm

Generated on Jun 22, 2023
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1200 Total Images

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Dataset Split

Train Set 88%
1050Images
Valid Set 8%
100Images
Test Set 4%
50Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Saturation: Between -25% and +25%
Brightness: Between -25% and +25%

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