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@@ -77,7 +77,7 @@ For clarity, we provide our data distribution according to different categories,
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  ## Qualitative Evaluation
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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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  ## 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>