Preparing a Dataset for AI Face Recognition

Arnaldo P. Castaño

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4 Aug 2020CPOL4 min read

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In this article, we’ll talk about preparing a dataset for feeding the correct data to a CNN.

Here we’ll create a dataset parser/processor and run it on the Yale Face dataset, which contains 165 grayscale images of 15 different people. This dataset is small but sufficient for our purpose – learning.

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

Written By

Arnaldo P. Castaño

Software Developer

Serbia

Computer Scientist and book author living in Belgrade and working for a German IT company. Author of Practical Artificial Intelligence: Machine Learning, Bots, and Agent Solutions Using C# (Apress, 2018) and PrestaShop Recipes (Apress, 2017). Lover of Jazz and cinema Smile | :)

Preparing a Dataset for AI Face Recognition

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