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2023-09-04 8:45pm
v3
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a year ago
2023-09-04 7:30pm
v2
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a year ago
2023-09-04 7:21pm
v1
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a year ago
v3

2023-09-04 8:45pm

Generated on Sep 4, 2023
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Dataset Split

Train Set 88%
6102Images
Valid Set 8%
547Images
Test Set 4%
275Images

Preprocessing

Auto-Orient: Applied
Static Crop: 25-75% Horizontal Region, 25-75% Vertical Region
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization
Modify Classes: 4 remapped, 0 dropped

Augmentations

Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Noise: Up to 5% of pixels

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