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# Semantic-SAM: Segment and Recognize Anything at Any Granularity
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:grapes: \[[Read our arXiv Paper](https://arxiv.org/pdf/2307.04767.pdf)\]   :apple: \[[Try Gradio Demo1](http://semantic-sam.xyzou.net:6080/)\]   🍐: \[[Try Gradio Demo2](http://semantic-sam.xyzou.net:6081/)\]   🍌: \[[Try Gradio Demo3](http://semantic-sam.xyzou.net:6082/)\]   🥑: \[[Try Gradio Demo4](http://semantic-sam.xyzou.net:6083/)\]
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:grapes: \[[Read our arXiv Paper](https://arxiv.org/pdf/2307.04767.pdf)\]   :apple: \[[Try Gradio Demo1](http://semantic-sam.xyzou.net:6080/)\]   🍐: \[[Try Gradio Demo2](http://semantic-sam.xyzou.net:6081/)\]
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## Introduction
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In this work, we introduce Semantic-SAM, a universal image segmentation model to enable segment and recognize anything at any desired granularity.

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