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

Abstract : 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.
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https://hal.archives-ouvertes.fr/hal-01381152
Contributor : Isabelle Guyon Connect in order to contact the contributor
Submitted on : Friday, October 14, 2016 - 9:29:59 AM
Last modification on : Friday, November 18, 2022 - 9:25:33 AM

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Sergio Escalera, Mercedes Torres, Brais Martinez, Xavier Baró, Hugo Jair Escalante, et al.. ChaLearn Looking at People and Faces of the World: Face Analysis Workshop and Challenge 2016. The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, 2016, Las Vegas, United States. ⟨10.1109/CVPRW.2016.93⟩. ⟨hal-01381152⟩

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