Age and Gender Classification Using Deep Learning - VGG16

Download Edit this record How to cite View on PhilPapers
Abstract
Abstract: Age and gender classification has been around for a long time, and efforts are still being made to improve the findings. This has been the case since the inception of social media platforms. Visible understanding has become more important in the computer vision society with the emergence of AI increase in performance and help train a model to achieve age and gender classification. Although these networks built for the mobile platform are not always as accurate as the larger, more resource- intensive networks we've come to know and love, they stand out when it comes to the accuracy trade-off. Despite the importance of these attributes in our daily lives, the ability to estimate them efficiently from face images is still far from meeting the requirements of commercial applications.
Categories
(categorize this paper)
PhilPapers/Archive ID
MANAAG
Upload history
Archival date: 2022-08-03
View other versions
Added to PP index
2022-08-03

Total views
19 ( #70,765 of 71,180 )

Recent downloads (6 months)
19 ( #40,642 of 71,180 )

How can I increase my downloads?

Downloads since first upload
This graph includes both downloads from PhilArchive and clicks on external links on PhilPapers.