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ZENODO
Dataset . 2021
License: CC BY
Data sources: Datacite
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ZENODO
Dataset . 2021
License: CC BY
Data sources: ZENODO
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Dataset . 2021
License: CC BY
Data sources: Datacite
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AUTH-OpenDR ALFW Dataset

Authors: Kakaletsis, Efstratios; Nikolaidis, Nikos;

AUTH-OpenDR ALFW Dataset

Abstract

Multi-view Facial Image Dataset Based on LFW: Using software that is based on the code that accompanies this paper 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 LFW 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 AUTH-OpenDR Augmented LFW (AUTH-OpenDR ALFW), 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. The ALFW dataset can be downloaded from this FTP site

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Keywords

LFW, Facial images, Multi-view

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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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