Pilgrims Face Recognition Dataset -- HUFRD

TL;DR

This paper introduces the HUFRD dataset, a new collection of pilgrims' face images captured during Hajj and Umrah seasons, aimed at advancing face recognition and detection algorithms in religious pilgrimage contexts.

Contribution

The paper presents a novel face recognition dataset specifically collected from pilgrims during Hajj and Umrah, facilitating research in facial recognition in crowded religious settings.

Findings

Dataset contains diverse pilgrims' images from Makkah during 2011-2012.

Designed to evaluate facial recognition and detection algorithms.

Supports development of missing and found recognition systems.

Abstract

In this work, we define a new pilgrims face recognition dataset, called HUFRD dataset. The new developed dataset presents various pilgrims' images taken from outside the Holy Masjid El-Harram in Makkah during the 2011-2012 Hajj and Umrah seasons. Such dataset will be used to test our developed facial recognition and detection algorithms, as well as assess in the missing and found recognition system \cite{crowdsensing}.