Zust 4 Help Chamet App ^new^ Site

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| Week | Task | Owner | |-------|------|-------| | 1 | Add FAQ widget & chatbot (simple rule-based) | Frontend + Support team | | 2 | Integrate Zustand stores for call/user state | Mobile dev team | | 3 | Deploy AI moderation for text only (optional opt-out) | ML engineer | | 4 | Launch Helper badge & in-call help button | Full team |

Remember these key takeaways:

| Method | Description | Earning Split | |--------|-------------|---------------| | Live Streaming | Go live, interact, receive virtual gifts | Variable (gift-based) | | Party Rooms | Host group sessions (5-12 participants) | 70% of entry fees | | One-on-one Calls | Direct video conversations | Per-minute/Per-call basis | | Agency Partnership | Manage or recruit other streamers | Commission-based |

Reference

If you use the data or code please cite:

Chengrui Wang and Han Fang and Yaoyao Zhong and Weihong Deng, MLFW: A Database for Face Recognition on Masked Faces, arXiv preprint arXiv:2108.07189.

BibTeX entry:
@article{wang2021mlfw,
  title={MLFW: A Database for Face Recognition on Masked Faces}, 
  author={Wang, Chengrui and Fang, Han and Zhong, Yaoyao and Deng, Weihong},
  journal={arXiv preprint arXiv:2109.05804},
  year={2021}
}

Download the database

This database is publicly available. We provide: 1) the original images(250x250), 2) the aligned images(112x112) and 3) the pair list. Baidu Netdisk(code:328y) , Google Drive

Now, we provide a list to indicate the masked faces. Google Drive


Contact

For further assistance, please contact , and Weihong Deng.