Release Agreement for ROSE-Youtu Face Liveness Detection Dataset
ROSE-Youtu Face Liveness Detection Database is a new and comprehensive face anti-spoofing database, which covers a large variety of illumination conditions, camera models, and attack types. The ROSE-Youtu Face Liveness Detection Database (ROSE-Youtu) consists of 3350 videos with 20 subjects totaling 5.45GB in size.
We consider three spoofing attack types including printed paper attack, video replay attack, and masking attack. For printed paper attack, face image with still printed paper and quivering printed paper (A4 size) are used. For video replay attack, we display a face video on Lenovo LCD screen and Mac screen. For masking attack, masks with and without cropping are considered. Moreover, the face videos are captured with different backgrounds which guarantee the face videos are coupled with different illumination conditions. To keep consistent with the genuine face video, the standoff distance between spoofing medium and camera is also about 30-50 cm.
Usage for Academic Reseach
Terms and Conditions:
- Without the expressed permission of the ROSE Lab, any of the following will be considered illegal: redistribution, derivation or generation of a new dataset from this dataset, and commercial usage of any of these datasets in any way or form, either partially or in its entirety.
- For the sake of privacy, images of all subjects in this dataset are only allowed for the demonstration in academic publications and presentations.
- All users of the NTU RGB+D action recognition dataset agree to indemnify, defend and hold harmless, the ROSE Lab and its officers, employees, and agents, individually and collectively, from any and all losses, expenses, and damages.
Please kindly cite the following reference if you use the dataset: Haoliang Li, Wen Li, Hong Cao, Shiqi Wang, Feiyue Huang and Alex C. Kot, “Unsupervised Domain Adaptation for Face Anti-Spoofing”, IEEE Transactions on Information Forensics and Security (in press).
By completing this online form, you have accepted the above terms & conditions and agree to include the above acknowledgements in your publications.