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Makeup Datasets

Datasets to study impact of makeup on face recognition

Makeup Datasets

Welcome to Makeup Datasets, datasets of female face images assembled for studying the impact of makeup on face recognition. We have assembled 4 datasets: YMU (YouTube Makeup): face images of subjects were obtained from YouTube video makeup tutorials. We also provide the YouTube URLs. VMU (Virtual Makeup): face images of Caucasian female subjects in the FRGC repository (http://www.nist.gov/itl/iad/ig/frgc.cfm) were synthetically modified to simulate the application of makeup. A publicly available software (www.taaz.com) was used to perform this alteration. MIW (Makeup in the "wild"): face images of subjects with and without makeup were obtained from the internet. MIFS (Makeup Induced Face Spoofing): face images of subjects were obtained from YouTube video makeup tutorials and face images of associated target subjects from the internet.

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Face Recognition
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Last updated on 
January 20, 2022
Licensed under 
Unknown
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