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Sodec Real-World dataset
The Sodec Real-World dataset has been collected to simulate the real-world presentation attack scenarios. It contains more than 51k frames of 31 different subjects. -
SiW dataset
The SiW dataset is one of the largest high-quality antispoofing datasets. It has over 4400 videos of 165 subjects collected over 4 different sessions. -
OULU-NPU dataset
The OULU-NPU dataset is a high resolution antispoofing dataset. It has over 5900 videos of 55 subjects. The dataset has both print and replay attacks with two printers and two... -
Replay-Mobile dataset
The Replay-Mobile dataset consists of 1190 video clips of 40 subjects. It contains paper and replay presentation attacks under five different lighting conditions. -
Shuffled Patch-Wise Supervision for Presentation Attack Detection
Face anti-spoofing is essential to prevent false facial verification by using a photo, video, mask, or a different substitute for an authorized person’s face. Most of the...