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@@ -79,7 +79,7 @@ For clarity, we provide our data distribution according to different categories,
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  ![examples](results.png)
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- Architecture
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  RMBG-2.0 is developed on the BiRefNet enhanced with our proprietary dataset. This training data significantly improve the model’s accuracy and effectiveness for background-removal task.<br>
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  **Original BiRefNet Repository:** https://github.com/ZhengPeng7/BiRefNet
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  ![examples](results.png)
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+ ### Architecture
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  RMBG-2.0 is developed on the BiRefNet enhanced with our proprietary dataset. This training data significantly improve the model’s accuracy and effectiveness for background-removal task.<br>
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  **Original BiRefNet Repository:** https://github.com/ZhengPeng7/BiRefNet
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