Multi-view Facial Image Dataset Based on CelebA: A dataset of facial images from several viewing angles was created by Aristotle University of Thessaloniki based on the CelebA image dataset, using the software that was created in OpenDR H2020 research project based on this paper and the respective code provided by the authors. CelebA is a large scale facial dataset and consists of 202,599 facial images of 10,177 celebrities captured in the wild. The new dataset namely AUTH-OpenDR Augmented CelebA (AUTH-OpenDR ACelebA) was generated from 140,000 facial images corresponding to 9161 persons, i.e. a subset of CelebA was used. For each CelebA image used, 13 synthetic images generated by yaw axis camera rotation in the interval [0◦ : +60◦ ] with step +5◦ were obtained. Moreover, 10 synthetic images generated by pitch axis camera rotation in the interval [0◦: +45◦] with step +5◦ are also created for each facial image of the aforementioned dataset. Since CelebA license does not allow distribution of derivative work we do not make AcelebA directly available but instead provide instructions and scripts on how to recreate it.

Due to license restrictions of the CelebA dataset, we provide code which can generate the dataset from CelebA. The code is licensed under the Apache 2.0 License. https://www.apache.org/licenses/LICENSE-2.0 The final dataset is subject to the original license of CelebA https://mmlab.ie.cuhk.edu.hk/projects/CelebA.html