SmartCityZen database2016
- Citation Author(s):
-
Onsa Lazzez (REGIM-Lab.: REsearch Groups in Intelligent Machines, ENIS, University of Sfax, Tunisia)Wael Ouarda (REGIM-Lab.: REsearch Groups in Intelligent Machines, ENIS, University of Sfax, Tunisia)Adel M. Alimi
(REGIM-Lab.: REsearch Groups in Intelligent Machines, ENIS, University of Sfax, Tunisia)
- Submitted by:
- Adel Alimi
- Last updated:
- DOI:
- 10.21227/353t-y080
- Data Format:
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Abstract
Social images analysis from social networks is considered as one of the most popular social technologies. Social images analysis is an active research topic in recent years and in order to promotes social images’s analysis research, the REGIM-Lab.: REsearch Groups in Intelligent Machines, ENIS, University of Sfax, Tunisia provides the SmartCityZen database’2016 freely of charge to social images analysis researchers.
SmartCityZen database’2016 was developed to advance the research and development of Social visual data analysis for users attributes discovery (Age, Gender, Ethnicity, etc.) systems. The social visual data is from 50 Facebook accounts that contains male and female users, multiple ethnicity like Africans and European users in various locations and ages betweeen 15 and 60 years old. This database is composed of 50 profile pictures.
All documents and papers that uses the SmartCityZen database’2016 will acknowledge the use of the database by including an appropriate citation to the following:
[1] Onsa Lazzez, Wael Ouarda, and Adel M. Alimi. "Understand me if you can! Global soft biometrics recognition from social visual data." In International Conference on Hybrid Intelligent Systems, pp. 527-538. Springer, Cham, 2016.
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