FaceMLA Database

Database Description

  • This database captures faces with pose variation, expression variation and accessory variation. The aim is to simulate real-world settings for challenging face recognition task. The database includes faces of 32 peoploe with 20 males and 12 females.
  • For each person, we captured 120 face images with the following subcategories.
  •   (a) frontal faces
      (b) profiles
      (c) frontal faces with expression variation
      (d) profiles with expression variation
      (e) frontal faces with accessory variation
      (f) profiles with accessory variation

           

    The Announcement of the Copyright

    • All rights of the FaceMLA database are reserved. The database is only available for research and noncommercial purposes. Commercial distribution or any act related to commercial use of this database is strictly prohibited. A clear acknowledgement should be made for any public work based on the database such as" We would like to express our thanks to the MLA Lab of Shandong University for FaceMLA Database." and please add our related works in the references.

    How to Get the Database

    Contact Information

    • Professor Yilong Yin

    • Machine Learning and Data Mining Lab
    • Department of Computer Science and Technology
    • Shandong University, Jinan, Shandong, P.R. China

    • E-mail: ylyin@sdu.edu.cn
    • Fax: +86531 88391367