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Preparing a Dataset for AI Face Recognition

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4 Aug 2020CPOL4 min read
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)

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About the Author

Arnaldo P. Castaño
Software Developer
Serbia 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 | :)

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