We’re living in strange times at the moment.

And it seems like wearing masks in public are becoming the norm.

So…maybe you’d like to detect who’s wearing one and possibly who’s not.

This is a perfect problem for deep learning and object detection.

In this video you’ll learn how to use Watson Visual Recognition, Python and OpenCV to build a face mask detector. By the end you’ll have all the code required to deploy your very own face mask detector with Python. In this video you’re detecting face masks but you could also use this to detect a whole bunch of other objects as well!

In this video you’ll learn how to:
1. Capturing Images with OpenCV
2. Visualising detections using Matplotlib
3. Training Custom Object Detection Models with Watson

Github Repo for the Project: https://github.com/nicknochnack/FaceMaskObjectDetection

Want to learn more about it all:
OpenCV: https://opencv.org/
Watson Studio: https://cloud.ibm.com/catalog/services/watson-studio
Watson Visual Recognition: https://cloud.ibm.com/catalog/services/visual-recognition

Oh, and don’t forget to connect with me!
LinkedIn: https://www.linkedin.com/in/nicholasr…
Facebook: https://www.facebook.com/nickrenotte/
GitHub: https://github.com/nicknochnack

Happy coding!
Nick

P.s. Let me know how you go and drop a comment if you need a hand!

Music by Lakey Inspired
Chill Day – https://www.youtube.com/watch?v=3HjG1Y4QpVA

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