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2023-02-20 9:23pm
v4
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2 years ago
2023-02-20 9:22pm
v3
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2 years ago
2023-02-20 9:11pm
v2
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2 years ago
2023-02-20 9:04pm
v1
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v2

2023-02-20 9:11pm

Generated on Feb 21, 2023
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Dataset Split

Train Set 85%
261Images
Valid Set 11%
33Images
Test Set 4%
13Images

Preprocessing

Auto-Orient: Applied
Static Crop: 25-75% Horizontal Region, 25-75% Vertical Region
Resize: Stretch to 640x640
Filter Null: Require all images to contain annotations.

Augmentations

Outputs per training example: 3
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Blur: Up to 5.25px

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