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@@ -76,11 +76,11 @@ For clarity, we provide our data distribution according to different categories,
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  ## Qualitative Evaluation
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  ![examples](collage.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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  ## Qualitative Evaluation
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+ Open source models comparison
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  ![examples](collage.png)
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  ### Architecture
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+ RMBG-2.0 is developed on the BiRefNet architecture 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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