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Update README.md
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teowu committed Nov 9, 2023
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<div align="center">


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<a href="https://github.com/Q-Future/"><img src="https://hits.seeyoufarm.com/api/count/incr/badge.svg?url=https%3A%2F%2Fgithub.com%2Fvqassessment%2FQ-Bench&count_bg=%23E97EBA&title_bg=%23555555&icon=&icon_color=%23E7E7E7&title=visitors&edge_flat=false"/></a>
<a href="https://github.com/Q-Future/Q-Bench"><img src="https://img.shields.io/github/stars/Q-Future/Q-Bench"/></a>
<a href="https://arxiv.org/abs/2309.14181"><img src="https://img.shields.io/badge/Arxiv-2309:14181-red"/></a>
<a href="https://github.com/Q-Future/Q-Bench/releases/tag/v1.0.1.1014datarelease"><img src="https://img.shields.io/badge/Data-Release-green"></a>
<a href="https://github.com/Q-Future/Q-Instruct"><img src="https://img.shields.io/badge/Awesome-QInstruct-orange"/></a>
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<h1>Q-Bench: A Benchmark for General-Purpose Foundation Models on Low-level Vision</h1>
Expand Down Expand Up @@ -38,15 +47,6 @@ _How do multi-modaility LLMs perform on low-level computer vision?_
<a href="https://huggingface.co/datasets/nanyangtu/LLDescribe-QBench"><strong>Data (LLDescribe)</strong></a> |
<a href="https://q-future.github.io/Chinese-Q-Bench"><strong>质衡 (Chinese-Q-Bench)</strong></a>


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<a href="https://github.com/Q-Future/"><img src="https://hits.seeyoufarm.com/api/count/incr/badge.svg?url=https%3A%2F%2Fgithub.com%2Fvqassessment%2FQ-Bench&count_bg=%2379C83D&title_bg=%23555555&icon=&icon_color=%23E7E7E7&title=hits&edge_flat=false"/></a>


<a href="https://github.com/Q-Future/Q-Bench"><img src="https://img.shields.io/github/stars/Q-Future/Q-Bench"/></a>

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