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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 : \[ [ Try Gradio Demo1] ( http://semantic-sam.xyzou.net:6080/ ) \]   ; 🍐: \[ [ Try Gradio Demo2] ( http://semantic-sam.xyzou.net:6081/ ) \] & nbsp ; 🍌: \[ [ Try Gradio Demo3 ] ( http://semantic-sam.xyzou.net:6082/ ) \] & nbsp ; 🥑: \[ [ Try Gradio Demo4 ] ( http://semantic-sam.xyzou.net:6083/ ) \]
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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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