A comprehensive Survey of Facial Datasets for Human Age and Gender Identification. | [Pakistan Journal of Computer and Information Systems • 2017]

Author(s):

1. ASADULLAH KHAN: Al-Khwarizmi Institute of Computer Science, University of Engineering and Technology,Lahore,pakistan

2. SAIRA JABEEN: Al-Khwarizmi Institute of Computer Science, University of Engineering and Technology,Lahore,pakistan

3. MUHAMMAD USMAN GHANI: Al-Khwarizmi Institute of Computer Science, University of Engineering and Technology,Lahore,Department of Computer Science and Engineering, University of Engineering and Technology,Lahore,pakistan

4. SAHAR WAQAR: Department of Computer Science and Engineering, University of Engineering and Technology,Lahore,pakistan

5. SAMYAN QAYYUM WAHLA: Department of Computer Science and Engineering, University of Engineering and Technology,Lahore

Abstract:

Human age and gender detection are interesting applications of computer vision and offers wide applications in video analytics and human-computer interaction. Publicly available datasets play the role of benchmarks for the performance evaluation of different algorithms applied to solve the same problem. Some separate surveys are available for age and gender detection which cover some datasets. Generally, gender information is provided with the age datasets and same datasets can be used for both age and gender detection. So we combine the analysis for both the problems in one survey. In recent years, large datasets have been created introducing state of the art techniques for age detection that are not discussed in presently available surveys. This survey tries to overcome lack of representations of those datasets in available literature as well as provide the strengths and weaknesses of all datasets from the perspective of both age and gender detection.

Page(s): 1-20

DOI: DOI not available

Published: Journal: Pakistan Journal of Computer and Information Systems, Volume: 2, Issue: 2, Year: 2017

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