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--- |
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title: Open LMM Subjective Leaderboard |
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emoji: 🌎 |
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colorFrom: blue |
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colorTo: green |
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sdk: gradio |
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app_file: app.py |
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pinned: true |
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license: apache-2.0 |
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tags: |
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- leaderboard |
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short_description: 'VLMEvalKit Subjectivce Benchmark Results' |
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sdk_version: 4.44.1 |
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--- |
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In this leaderboard, we display subjective benchmark evaluation results obtained with VLMEvalKit. |
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Github: https://github.com/open-compass/VLMEvalKit |
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Report: https://arxiv.org/abs/2407.11691 |
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Please consider to cite the report if the resource is useful to your research: |
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```BibTex |
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@misc{duan2024vlmevalkitopensourcetoolkitevaluating, |
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title={VLMEvalKit: An Open-Source Toolkit for Evaluating Large Multi-Modality Models}, |
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author={Haodong Duan and Junming Yang and Yuxuan Qiao and Xinyu Fang and Lin Chen and Yuan Liu and Amit Agarwal and Zhe Chen and Mo Li and Yubo Ma and Hailong Sun and Xiangyu Zhao and Junbo Cui and Xiaoyi Dong and Yuhang Zang and Pan Zhang and Jiaqi Wang and Dahua Lin and Kai Chen}, |
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year={2024}, |
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eprint={2407.11691}, |
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archivePrefix={arXiv}, |
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primaryClass={cs.CV}, |
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url={https://arxiv.org/abs/2407.11691}, |
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} |
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``` |
