Support Vector Machines in OpenCV

The Support Vector Machine algorithm is one of the most popular supervised machine learning techniques, and it is implemented in the OpenCV library.

This tutorial will introduce the necessary skills to start using Support Vector Machines in OpenCV, using a custom dataset we will generate. In a subsequent tutorial, we will then apply these skills for the specific applications of image classification and detection. 

In this tutorial, you will learn how to apply OpenCV’s Support Vector Machine algorithm on a custom two-dimensional dataset. 

After completing this tutorial, you will know:

  • Several of the most important characteristics of Support Vector Machines.
  • How to use the Support Vector Machine algorithm on a custom dataset in OpenCV.

Kick-start

 

 

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