Machine Learning

Random Forest for Image Classification Using OpenCV

The Random Forest algorithm forms part of a family of ensemble machine learning algorithms and is a popular variation of bagged decision trees. It also comes implemented in the OpenCV library.

In this tutorial, you will learn how to apply OpenCV’s Random Forest algorithm for image classification, starting with a relatively easier banknote dataset and then testing the algorithm on OpenCV’s digits dataset. 

After completing this tutorial, you will know:

  • Several of the most important characteristics of the Random Forest algorithm.
  • How to use the Random Forest algorithm for image classification in OpenCV.

Kick-start your project with my book Machine Learning in OpenCV. It provides self-study tutorials with working code.

Let’s get started.