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2022-11-29 8:27pm
v1
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2 years ago
v1

2022-11-29 8:27pm

Generated on Nov 30, 2022
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2282 Total Images

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Dataset Split

Train Set 87%
1992Images
Valid Set 9%
206Images
Test Set 4%
84Images

Preprocessing

Auto-Orient: Applied
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 10px
Noise: Up to 5% of pixels

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