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Age Estimation With Deep Learning: Acquiring Dataset

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20 Jul 2020CPOL4 min read
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.

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

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About the Author

Sergey L. Gladkiy
Team Leader VIPAKS
Russian Federation 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.

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