# Localized Audio Visual DeepFake Dataset (LAV-DF)

This repo is the dataset for the DICTA paper [Do You Really Mean That? Content Driven Audio-Visual 
Deepfake Dataset and Multimodal Method for Temporal Forgery Localization](https://ieeexplore.ieee.org/document/10034605)
(Best Award), and the journal paper ["Glitch in the Matrix!": A Large Scale Benchmark for Content Driven Audio-Visual 
Forgery Detection and Localization](https://arxiv.org/abs/2305.01979) submitted to CVIU.

## LAV-DF Dataset

### Download

To use this LAV-DF dataset, you should agree the [terms and conditions](https://github.com/ControlNet/LAV-DF/blob/master/TERMS_AND_CONDITIONS.md).

Download link: [Google Drive](https://drive.google.com/file/d/1-OQ-NDtdEyqHNLaZU1Lt9Upk5wVqfYJw/view?usp=sharing), or [HuggingFace](https://huggingface.co/datasets/ControlNet/LAV-DF).

## License

This project is under the CC BY-NC 4.0 license. See [LICENSE](https://github.com/ControlNet/LAV-DF/blob/master/LICENSE) for details.

## References

If you find this work useful in your research, please cite them.

The conference paper,
```bibtex
@inproceedings{cai2022you,
  title = {Do You Really Mean That? Content Driven Audio-Visual Deepfake Dataset and Multimodal Method for Temporal Forgery Localization},
  author = {Cai, Zhixi and Stefanov, Kalin and Dhall, Abhinav and Hayat, Munawar},
  booktitle = {2022 International Conference on Digital Image Computing: Techniques and Applications (DICTA)},
  year = {2022},
  doi = {10.1109/DICTA56598.2022.10034605},
  pages = {1--10},
  address = {Sydney, Australia},
}
```

The extended journal version currently under review at CVIU,
```bibtex
@article{cai2023glitch,
  title = {Glitch in the Matrix: A Large Scale Benchmark for Content Driven Audio-Visual Forgery Detection and Localization},
  author = {Cai, Zhixi and Ghosh, Shreya and Dhall, Abhinav and Gedeon, Tom and Stefanov, Kalin and Hayat, Munawar},
  journal = {arXiv preprint arXiv:2305.01979},
  year = {2023},
}
```
task_categories:video-classification size_categories:100K<n<1M language:en license:cc deepfakes video arxiv:2305.01979 region:us
{"language": ["en"], "license": "cc", "size_categories": ["100K<n<1M"], "task_categories": ["video-classification"], "paperswithcode_id": "lav-df", "pretty_name": "LAV-DF", "tags": ["deepfakes", "video"], "extra_gated_heading": "Access LAV-DF dataset on Hugging Face", "extra_gated_prompt": "To use this LAV-DF dataset, you should agree the [terms and conditions](https://github.com/ControlNet/LAV-DF/blob/master/TERMS_AND_CONDITIONS.md)."}
TAGS
#task_categories-video-classification #size_categories-100K<n<1M #language-English #license-cc #deepfakes #video #arxiv-2305.01979 #region-us 

# Localized Audio Visual DeepFake Dataset (LAV-DF)

This repo is the dataset for the DICTA paper Do You Really Mean That? Content Driven Audio-Visual 
Deepfake Dataset and Multimodal Method for Temporal Forgery Localization
(Best Award), and the journal paper "Glitch in the Matrix!": A Large Scale Benchmark for Content Driven Audio-Visual 
Forgery Detection and Localization submitted to CVIU.

## LAV-DF Dataset

### Download

To use this LAV-DF dataset, you should agree the terms and conditions.

Download link: Google Drive, or HuggingFace.

## License

This project is under the CC BY-NC 4.0 license. See LICENSE for details.

## References

If you find this work useful in your research, please cite them.

The conference paper,


The extended journal version currently under review at CVIU,

# Localized Audio Visual DeepFake Dataset (LAV-DF)

This repo is the dataset for the DICTA paper Do You Really Mean That? Content Driven Audio-Visual 
Deepfake Dataset and Multimodal Method for Temporal Forgery Localization
(Best Award), and the journal paper "Glitch in the Matrix!": A Large Scale Benchmark for Content Driven Audio-Visual 
Forgery Detection and Localization submitted to CVIU. ## LAV-DF Dataset ### Download

To use this LAV-DF dataset, you should agree the terms and conditions.

Download link: Google Drive, or HuggingFace. ## License

This project is under the CC BY-NC 4.0 license. See LICENSE for details. ## References

If you find this work useful in your research, please cite them.

The conference paper,


The extended journal version currently under review at CVIU,
TAGS
#task_categories-video-classification #size_categories-100K<n<1M #language-English #license-cc #deepfakes #video #arxiv-2305.01979 #region-us 
 # Localized Audio Visual DeepFake Dataset (LAV-DF)

This repo is the dataset for the DICTA paper Do You Really Mean That? Content Driven Audio-Visual 
Deepfake Dataset and Multimodal Method for Temporal Forgery Localization
(Best Award), and the journal paper "Glitch in the Matrix!": A Large Scale Benchmark for Content Driven Audio-Visual 
Forgery Detection and Localization submitted to CVIU. ## LAV-DF Dataset ### Download

To use this LAV-DF dataset, you should agree the terms and conditions.

Download link: Google Drive, or HuggingFace. ## License

This project is under the CC BY-NC 4.0 license. See LICENSE for details. ## References

If you find this work useful in your research, please cite them.

The conference paper,


The extended journal version currently under review at CVIU,
passage: TAGS
#task_categories-video-classification #size_categories-100K<n<1M #language-English #license-cc #deepfakes #video #arxiv-2305.01979 #region-us 
# Localized Audio Visual DeepFake Dataset (LAV-DF)

This repo is the dataset for the DICTA paper Do You Really Mean That? Content Driven Audio-Visual 
Deepfake Dataset and Multimodal Method for Temporal Forgery Localization
(Best Award), and the journal paper "Glitch in the Matrix!": A Large Scale Benchmark for Content Driven Audio-Visual 
Forgery Detection and Localization submitted to CVIU.## LAV-DF Dataset### Download

To use this LAV-DF dataset, you should agree the terms and conditions.

Download link: Google Drive, or HuggingFace.## License

This project is under the CC BY-NC 4.0 license. See LICENSE for details.## References

If you find this work useful in your research, please cite them.

The conference paper,


The extended journal version currently under review at CVIU,