OpenFace-CQUPT/FaceCaption-15M

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The declared licence (cc-by-4.0) is classified as permissive.

Declared licence: cc-by-4.0, from the tagEvidence: README.md at 7d0dc05
Licence files: No licence file at the top level of the repositoryEvidence: file list at 7d0dc05
Declared sources: None listed in the card metadata
Access gated on Hugging Face: No

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Tasks

Citation text from the card

```tex
@misc{dai202415mmultimodalfacialimagetext,
      title={15M Multimodal Facial Image-Text Dataset}, 
      author={Dawei Dai and YuTang Li and YingGe Liu and Mingming Jia and Zhang YuanHui and Guoyin Wang},
      year={2024},
      eprint={2407.08515},
      archivePrefix={arXiv},
      primaryClass={cs.CV},
      url={https://arxiv.org/abs/2407.08515}, 
}

@article{dai2026facecaption15m,
    title={FaceCaption-15M: Benchmarking and Enhancing Facial Vision-Language Models},
    author={Dawei Dai and YuTang Li and YingGe Liu and Mingming Jia and Zhang YuanHui and Guoyin Wang},
    journal={IEEE Transactions on Circuits and Systems for Video Technology},
    year={2026},
    doi={10.1109/TCSVT.2026.3713342},
    keywords={Modeling;Faces;Training;Conferences;Computers;Computer vision;Learning (artificial intelligence);Pattern recognition;Educational institutions;Machine learning;Image-Text Dataset;Face Task},
}
```

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dataset_licence({ "id": "OpenFace-CQUPT/FaceCaption-15M" })
signal: "permissive"
stated_licence: "cc-by-4.0"
sources: 0