Article n°4 of the “Deep Learning for Computer Vision” series — Image classification is a topic of pattern recognition part of the computer vision domain. …

Article n°3 of the “Deep Learning for Computer Vision” series — In computer vision, color images are represented as a 3D matrix where the third dimension is composed of three channels (a.k.a RGB system for the Red, Green, and Blue colors). So, each pixel of the image has three components e.g. set R=252, G=198, B=188. Note: if you are going to…

Article n°2 of the “Deep Learning for Computer Vision” series — Before answering this question, let's first have a look at artificial intelligence and what it is used for. The main goal of Artificial Intelligence (AI) is to provide a set of algorithms that can solve problems that are easy (i.e. intuitive) for humans but complex for machines, e.g. describe the…

Article n°1 of the “Deep Learning for Computer Vision” series — This is the 1st article of a series of articles about the topic of “Deep Learning for Computer Vision”. In this series, you will find articles in the format of short summaries about the basic concepts you need to know to start with deep learning (DL), an introduction to machine…

Object detection is a technique used to identify the location of objects in an image. If there is a single object in the image and the goal is to categorize the complete image, this is known as image classification. In other words, image classification helps to classify what is contained…

Large, diverse, and qualitative training datasets are indispensable to correctly train a classification algorithm and obtain a good model. However, the collection of such datasets is expensive and labor-intensive, this is why the use of data already collected in an optimal way is very important. A popular technique for getting…