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MSU Mobile Face Spoofing Database

The MSU Mobile Face Spoofing Database (MFSD) is a benchmark dataset for face anti-spoofing. It consists of 8 videos of 35 subjects. The video frames are extracted, face localization is performed using Viola Jones Harr Cascade, and sample faces are randomly split into training, validation and testing sets.

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Cite this as

Chaitanya Nagpal, Shiv Ram Dubey (2024). Dataset: MSU Mobile Face Spoofing Database. https://doi.org/10.57702/jvxn39ys

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It is available for use in manuscripts, and will be published when the Dataset is made public.

Additional Info

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Created December 16, 2024
Last update December 16, 2024
Author Chaitanya Nagpal
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Shiv Ram Dubey