README.md

---
license: mit
task_categories:
- video-text-to-text
---

# Ego2Web: A Web Agent Benchmark Grounded in Egocentric Videos

[**Project Page**](https://ego2web.github.io/) | [**Paper**](https://huggingface.co/papers/2603.22529) | [**Code**](https://github.com/Yui010206/Ego2Web)

Ego2Web is the first benchmark designed to bridge egocentric video perception and web agent execution. It pairs real-world first-person video recordings with web tasks that require visual understanding, web task planning, and interaction in an online environment for successful completion.

The benchmark connects real-world human activities with web-based tasks, enabling research at the intersection of embodied perception and web interaction across diverse domains such as e-commerce, media retrieval, and knowledge lookup.

## Citation

If you find this work useful, please cite:

```bibtex
@article{yu2026ego2web,
  title={Ego2Web: Benchmarking Web Agents with Egocentric Video Grounding},
  author={Yu, Shoubin and Shu, Lei and Yang, Antoine and Fu, Yao and 
          Sunkara, Srinivas and Wang, Maria and Chen, Jindong and 
          Bansal, Mohit and Gong, Boqing},
  journal={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year={2026}
}
```