Deep Learning in C#: Coin Detection Using OpenCV

Arnaldo P. Castaño

Rate me:

4.83/5 (5 votes)

2 Nov 2020CPOL3 min read

18.2K

698

In this series of articles we will use a deep neural network (DNN) to perform coin recognition. Specifically, we will train a DNN to recognize the coins in an image.

In this article, we will describe an OpenCV application that will detect coins in an image. Coin detection is a common stage prior to full coin recognition. It consists of detecting and extracting coins from a given image.

Views

Daily Counts

Downloads

Weekly Counts

This article is part of the series 'Deep Learning in C# 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

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 | :)

Deep Learning in C#: Coin Detection Using OpenCV

Views

Downloads

License

Comments and Discussions