Training a YOLOv5 Model for Face Mask Detection

Sergio Virahonda

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28 Jan 2021CPOL6 min read

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In this article, we’re going to use the dataset to train a YOLOv5 object detection model.

Here we will both train and test our YOLOv5 model for face mask detection.

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This article is part of the series 'AI on the Edge: Face Mask Detection ◁ 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

Sergio Virahonda

United States

Sergio Virahonda grew up in Venezuela where obtained a bachelor's degree in Telecommunications Engineering. He moved abroad 4 years ago and since then has been focused on building meaningful data science career. He's currently living in Argentina writing code as a freelance developer.