EULA_RECOD-Selfie-Dataset.pdf (67.2 kB)
RECOD Selfie Dataset (RCD-Selfie)
Version 3 2020-07-30, 19:44
Version 2 2020-03-03, 13:55
Version 1 2017-09-21, 15:22
online resource
posted on 2020-07-30, 19:44 authored by Rafael PadilhaRafael Padilha, Fernanda AndaloFernanda Andalo, Anderson RochaTo access the dataset:
Download, complete and sign the End-User License Agreement available in FigShare, and send it by email to prof. Anderson Rocha (anderson.rocha@ic.unicamp.br). As soon as possible, we will send back the download link.
Description:
The RECOD Selfie Dataset (RCD-Selfie) is composed by videos of 56 individuals, filmed by themselves by pointing the frontal camera of a mobile device to their faces and recording videos of approximately 30 seconds. The videos were captured in outdoor and indoor environments, with different illumination conditions, as well as varying head pose and facial expression. The dataset was collected at the University of Campinas (Unicamp), with the participation of members of its community. From these videos, we extract one frame per second, where most of them have 1080x1920 resolution, while a minority has 480x640.
Reference
In case the dataset is used or results are obtained with it, we kindly ask that the following paper is referenced:
Two-tiered face verification with low-memory footprint for mobile devices.
Rafael Padilha, Fernanda A. Andaló, Gabriel Bertocco, Waldir Almeida, William Dias, Thiago Resek, Ricardo da S. Torres, Jacques Wainer, Anderson Rocha.
IET Biometrics, 2020.
