Mobile Custom Silicone Mask Attack Dataset (CSMAD-Mobile)

Raghavendra Ramachandra, Sushma Venkatesh, Kiran B. Raja, Sushil Bhattacharjee, Pankaj Wasnik, Sébastien Marcel & Christoph Busch
CSMAD-Mobile is a dataset for mobile face recognition and presentation attack detection (anti-spoofing). The dataset contains face and silicon masks images captured with different smartphones. This dataset consists of images captured from 8 different Bona Fide subjects using three different smartphones (iPhone X, Samsung S7 and Samsung S8). For each subject within the database, varying number of samples are collected using all the three phones. Similarly, the silicone masks of each of the subject is...
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