Evolution of Object Detection techniques from Feature Descriptor to YOLOV8 Models (Part-I)

The idea behind this article is to cover all major the Object detection techniques evolved over the period of time and based on the findings explained in their respective research papers. I will also link down the research papers and resources as I will cover each and every topic so that it will be easy for anyone to just refer these in one go and gather the necessary details of the respective object detection algorithms.

Also I will try to cover the implementation of most of the algorithms if possible, else will link down the notebooks available in Kaggle so that if anyone wants to explore any specific algorithm they can refer that notebook as a future reference.

This article is going to be very long as per my plan, and if it goes too long I will split this into series of article so that we can give importance to each and every aspect of Object detection.

“Please feel free to comment/recommend if I missed out any specific topic or techniques which needs attention in this post”

Let’s get started…..

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1. What is Object Detection?

2. Evolution of Object detection techniques