Age Estimation With Deep Learning: Acquiring Dataset

Sergey L. Gladkiy

Rate me:

4.88/5 (5 votes)

20 Jul 2020CPOL4 min read

14.4K

176

In this article we’ll talk about the selection and acquisition of the image dataset.

Here we'll look at: what images we need in our dataset, how many pictures we need, we revisit the age estimation as a classification problem, acquire the images, and organize the dataset.

Views

Daily Counts

Downloads

Weekly Counts

This article is part of the series 'Age Estimation with Deep Learning ◁ Prev View All Next ▷

License

This article, along with any associated source code and files, is licensed under The Code Project Open License (CPOL)

Written By

Sergey L. Gladkiy

Team Leader VIPAKS

Russian Federation

EDUCATION:

Master’s degree in Mechanics.

PhD degree in Mathematics and Physics.

PROFESSIONAL EXPERIENCE:

15 years’ experience in developing scientific programs
(C#, C++, Delphi, Java, Fortran).

SCIENTIFIC INTERESTS:

Mathematical modeling, symbolic computer algebra, numerical methods, 3D geometry modeling, artificial intelligence, differential equations, boundary value problems.

Age Estimation With Deep Learning: Acquiring Dataset

Views

Downloads

License

Comments and Discussions