Support Vector Machines for Image Classification and Detection Using OpenCV
In a previous tutorial, we explored using the Support Vector Machine algorithm as one of the most popular supervised machine learning techniques implemented in the OpenCV library.
So far, we have seen how to apply Support Vector Machines to a custom dataset that we have generated, consisting of two-dimensional points gathered into two classes.
In this tutorial, you will learn how to apply OpenCV’s Support Vector Machine algorithm to solve image classification and detection problems.
After completing this tutorial, you will know:
- Several of the most important characteristics of Support Vector Machines.
- How to apply Support Vector Machines to the problems of image classification and detection.
Kick-start your project with my book Machine