https://github.com/applied-machine-learning-lab/geoarena

Code repository for paper "GeoArena: An Open Platform for Benchmarking Large Vision-language Models on WorldWide Image Geolocalization"
https://github.com/applied-machine-learning-lab/geoarena

Last synced: 5 months ago
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Code repository for paper "GeoArena: An Open Platform for Benchmarking Large Vision-language Models on WorldWide Image Geolocalization"

• Host: GitHub
• URL: https://github.com/applied-machine-learning-lab/geoarena
• Owner: Applied-Machine-Learning-Lab
• Created: 2025-10-21T01:56:32.000Z (5 months ago)
• Default Branch: main
• Last Pushed: 2025-10-21T02:49:39.000Z (5 months ago)
• Last Synced: 2025-10-21T04:17:54.892Z (5 months ago)
• Language: Python
• Homepage:
• Size: 21.5 KB
• Stars: 0
• Watchers: 0
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

          
# GeoArena

This is the code repository for the paper "GeoArena: An Open Platform for Benchmarking Large Vision-language Models on WorldWide Image Geolocalization"

## Install

```

pip install gradio plotly openai scikit-learn

```

Please config the openai key and base url in `config.py`

## Running the code

```

python app.py

```

## Citation

if you find our work helpful, please consider cite our work as follows, thanks!

```

@article{jia2025geoarena,

  title={GeoArena: An Open Platform for Benchmarking Large Vision-language Models on WorldWide Image Geolocalization},

  author={Jia, Pengyue and Zhang, Yingyi and Zhao, Xiangyu and Li, Sharon},

  journal={arXiv preprint arXiv:2509.04334},

  year={2025}

}

```

Many thanks to [llm-poor-gpu-arena](https://huggingface.co/spaces/k-mktr/gpu-poor-llm-arena) for being open-sourced. This project is developed based on it.