%0 Conference Proceedings
%T ChaLearn Looking at People and Faces of the World: Face AnalysisWorkshop and Challenge 2016
%A Sergio Escalera
%A Mercedes Torres-Torres
%A Brais Martinez
%A Xavier Baro
%A Hugo Jair Escalante
%A Isabelle Guyon
%A Georgios Tzimiropoulos
%A Ciprian Corneanu
%A Marc Oliu  Simón
%A Mohammad Ali Bagheri
%A Michel Valstar
%B 29th IEEE Conference on Computer Vision and Pattern Recognition Workshops
%D 2016
%F Sergio Escalera2016
%O HuPBA;MV;
%O exported from refbase (http://refbase.cvc.uab.es/show.php?record=2849), last updated on Thu, 27 Apr 2023 13:19:43 +0200
%X 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 http://gesture.chalearn.org.
%U http://refbase.cvc.uab.es/files/ETM2016.pdf
%U http://dx.doi.org/10.1109/CVPRW.2016.93