Face spoof dataset. Anti-Spoofing dataset: live, replay, cut, print, 3D masks - large-scale face anti spoofing This dataset delivers a single, end-to-end resource for training and benchmarking facial liveness-detection systems. CelebA-Spoof is a large-scale face anti-spoofing dataset that has 625,537 images from 10,177 subjects, which includes 43 rich attributes on face, illumination, environment and spoof types. However, there exists a vital threat to these Oct 7, 2020 · In this paper, we construct a large-scale face anti-spoofing dataset, CelebA-Spoof, with 625,537 images from 10,177 subjects, which includes 43 rich attributes on face, illumination, environment and spoof types. To ensure reproducibility and fair comparison for future work, we provide fixed train/dev/test protocols for all datasets. Despite substantial advancements, the general-ization of existing approaches to real-world applications remains challenging. ️Three generic benchmarks were proposed to support a comprehensive assessment. The dataset has two classes: real and spoof. Though promising progress has been achieved, existing works still have difficulty in handling complex spoof attacks and generalizing to real-world scenarios. With the successful deployments in phone unlock, access control and e-wallet payment, facial interaction systems already become an integral part in the real world. Oct 10, 2020 · This is the largest dataset for face spoofing prevention. xkz5 httv0v3 k7mhbl 5rhiu wd9 ovrf0pzd wvmx x8v0mbo rxjil4l iu