Categories: AI/ML Research

Image Vector Representation for Machine Learning Using OpenCV

One of the pre-processing steps that are often carried out on images before feeding them into a machine learning algorithm is to convert them into a feature vector. As we will see in this tutorial, there are several advantages to converting an image into a feature vector that makes the latter more efficient. Among the […]

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Support Vector Machines for Image Classification and Detection Using OpenCV

In a previous tutorial, we have explored the use of the Support Vector Machine algorithm as one of the most popular supervised machine learning techniques that comes implemented in the OpenCV library. So far, we have seen how to apply Support Vector Machines to a custom dataset that we have…

November 29, 2023

In "AI/ML Research"

Support Vector Machines in OpenCV

The Support Vector Machine algorithm is one of the most popular supervised machine learning techniques, and it comes implemented in the OpenCV library. This tutorial will introduce the necessary skills to start using Support Vector Machines in OpenCV, using a custom dataset that we will generate. We will then apply…

November 22, 2023

In "AI/ML Research"

How to Train a Object Detection Engine with HOG in OpenCV

In the previous post, you saw that OpenCV can extract features from an image using a technique called the Histogram of Oriented Gradients (HOG). In short, this is to convert a “patch” of an image into a numerical vector. This vector, if set up appropriately, can identify key features within…

November 18, 2023

In "AI/ML Research"

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