The Caucasian and North African French Faces (CaNAFF): A Face Database

By R. Courset, M. Rougier, R. palluel-germain, A. Smeding, Juliette Manto Jonte, Alan Chauvin, Dominique Muller. 2018

16 citations recorded by the source corpus.

In France, when studying intergroup relations between ethnicities, one usually contrasts Caucasian and North African individuals. Despite the presence of a large number of face databases in the literature, none of them contains Caucasian and North African faces similar to faces we can find in a usual French environment. To overcome this problem, we propose a new database: the Caucasian and North African French Faces (CaNAFF). One hundred and forty-seven individuals, scattered on prototypicality across the Caucasian/North African continuum, have been photographed. These individuals displayed a neutral emotional expression and photos were taken under three eye gaze directions (right, frontal, and left), resulting in a total of 441 photos. Subsequently, in order to validate our database, 25 participants evaluated the photos on emotional neutrality and 30 participants evaluated faces on ethnic prototypicality, attractiveness, and willingness to approach/avoid faces. We make available to researchers this database as well as the result of the validation as a support for studying relations between Caucasian and North African individuals in France. The procedure for requesting access to the CaNAFF database as well as the validation file are available on this following link: https://osf.io/274ry/ .

Subfields: Computer Vision and Pattern Recognition

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In Computer Vision and Pattern Recognition

1. Yujiu Yang
2. Weihao Xia
3. Jing-Hao Xue
4. Baoyuan Wu
5. Daniel Cohen-Or
6. Dani Lischinski

Citations in the corpus

• Towards Open-World Text-Guided Face Image Generation and Manipulation (2021, methodology): “, images from other face dataset such as [66], [67], [68], which illustrate that our method is prepared to produce pleasing results for the in-the-wild images.”