ChaLearn Looking at People and Faces of the World: Face AnalysisWorkshop and Challenge 2016

Escalera, Sergio, Torres, Mercedes Torres, Martinez, Brais, Baro, Xavier, Escalante, Hugo Jair, Guyon, Isabelle, Tzimiropoulos, Georgios, Corneanu, Ciprian, Oliu, Marc, Bagheri, Mohammad Ali and Valstar, Michel (2016) ChaLearn Looking at People and Faces of the World: Face AnalysisWorkshop and Challenge 2016. In: IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 26 June - 1 July 2016, Las Vegas, NV, USA.

Full text not available from this repository.


We present the 2016 ChaLearn Looking at People and Faces of the World Challenge and Workshop, which ran three competitions on the common theme of face analysis from still images. The first one, Looking at People, addressed age estimation, while the second and third competitions, Faces of the World, addressed accessory classification and smile and gender classification, respectively. We present two crowd-sourcing methodologies used to collect manual annotations. A custom-build application was used to collect and label data about the apparent age of people (as opposed to the real age). For the Faces of the World data, the citizen-science Zooniverse platform was used. This paper summarizes the three challenges and the data used, as well as the results achieved by the participants of the competitions. Details of the ChaLearn LAP FotW competitions can be found at

Item Type: Conference or Workshop Item (Paper)
Additional Information: © 2016 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. // ISSN of main conference: 1063-6919. // N.B. The acceptance date is estimated.
Schools/Departments: University of Nottingham, UK > Faculty of Science > School of Computer Science
Identification Number:
Depositing User: Eprints, Support
Date Deposited: 26 Feb 2018 12:58
Last Modified: 04 May 2020 18:25

Actions (Archive Staff Only)

Edit View Edit View