Back

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.

Try V7 now
->
View author website
Task
Face Recognition
Annotation Types
Bounding Boxes
Items
Classes
Labels
Models using this dataset
Last updated on 
October 31, 2023
Licensed under 
Unknown
Blog
Learn about machine learning and latests advancements in AI.
Read More
Playbooks
Discover how to optimize AI for your business.
Learn more
Case Studies
Discover how V7 empowers AI industry greats.
Explore now
Webinars
Explore AI topics, gain insights, and learn from experts.
Watch now