FaceForensics, FaceForensics++, and DeepFakes Detection Dataset
Before we are able to offer you access to the database, please agree to the following terms of use.
After approval, you (the "Researcher") receive permission to use the FaceForensics database (the "Database") at the Technical University of Munich. In exchange for being able to join the FaceForensics community and receive such permission, Researcher hereby agrees to the following terms and conditions:
 
1. Researcher shall use the Database only for non-commercial research and educational purposes.
2. The Technical University of Munich and its contributors make no representations or warranties regarding the Database, including but not limited to warranties of non-infringement or fitness for a particular purpose.
3. Researcher accepts full responsibility for his or her use of the Database and shall defend and indemnify the Technical University of Munich and its contributors, including their employees, Trustees, officers and agents, against any and all claims arising from Researcher's use of the Database, including but not limited to Researcher's use of any copies of copyrighted Images, Videos, and 3D models that he or she may create from the Database.
4. Researcher may provide research associates and colleagues with access to the Database provided that they first agree to be bound by these terms and conditions.
5. The Technical University of Munich and its contributors reserves the right to terminate Researcher's access to the Database at any time.
6. If Researcher is employed by a for-profit, commercial entity, Researcher's employer shall also be bound by these terms and conditions, and Researcher hereby represents that he or she is fully authorized to enter into this agreement on behalf of such employer.
7. The law of Germany or the law of the contributors’ states of incorporation shall apply to all disputes under this agreement.

If you use a dataset please use one of the following corresponding FaceForensics citations. If you also use Google’s DeepFake Detection Dataset, that is included in the download, please use the citation at the end:

@article{roessler2018faceforensics, author = {Andreas R\"ossler and Davide Cozzolino and Luisa Verdoliva and Christian Riess and Justus Thies and Matthias Nie{\ss}ner}, title = {Face{F}orensics: A Large-scale Video Dataset for Forgery Detection in Human Faces}, journal={arXiv}, year={2018} }

@inproceedings{roessler2019faceforensicspp, author = {Andreas R\"ossler and Davide Cozzolino and Luisa Verdoliva and Christian Riess and Justus Thies and Matthias Nie{\ss}ner}, title = {Face{F}orensics++: Learning to Detect Manipulated Facial Images}, booktitle= {International Conference on Computer Vision (ICCV)}, year = {2019} }

@MISC{DDD_GoogleJigSaw2019, AUTHOR = {Dufour, Nicholas and Gully, Andrew and Karlsson, Per and Vorbyov, Alexey Victor and Leung, Thomas and Childs, Jeremiah and Bregler, Christoph}, DATE = {2019-09}, TITLE = {DeepFakes Detection Dataset by Google & JigSaw}}

After your request has been approved, we will send you the link to our download script. If you have any questions, please contact us under faceforensics@googlegroups.com.

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