AUTH-OpenDR ALFW Dataset

<p><strong>Multi-view Facial Image Dataset Based on LFW</strong>: Using software that is based on the code that accompanies &nbsp;this <a href="https://openaccess.thecvf.com/content_CVPR_2020/html/Zhou_Rotate-and-Render_Unsupervised_Photorealistic_Face_Rotation_From_Single-View_Images_CVPR_2020_paper.html">paper</a> &nbsp;a set of synthetically generated multi-view facial images has been created within OpenDR H2020 research project by Aristotle University of Thessaloniki based on the &nbsp;<a href="http://vis-www.cs.umass.edu/lfw/"><strong>LFW</strong></a>&nbsp; &nbsp;image dataset which is a facial image dataset that consists of 13,233 facial images in the wild for 5,749 person identities collected from the Web. The resulting set, named<strong>&nbsp;AUTH-OpenDR Augmented LFW (AUTH-OpenDR ALFW)</strong>, consists of 5,749 person identities. From each image of these subjects (13,233 in total), 13 synthetic images generated by yaw axis camera rotation in the interval [0◦: +60◦ ] with step +5◦ are 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.&nbsp;The ALFW dataset&nbsp; can be downloaded from this <a>FTP site</a></p>