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Makeup Datasets
Face
|...
许可协议: Unknown

Overview

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.
数据概要
数据格式
image,
数据量
1.6K
文件大小
--
发布方
Antitza Dantcheva
| 数据量 1.6K | 大小 --
Makeup Datasets
Face
许可协议: Unknown

Overview

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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