I will make Yolo v3 easy and reusable without over-complicating things. With this tutorial, you will be able to implement object detection in TensorFlow 2 simply

In this tutorial, I’ll cover the Yolo v3 loss function and model training. We’ll train a custom object detector on Mnist dataset

In this step-by-step tutorial, I will show how to train a 7-class object detector (could use this method to get a dataset for every detector you may use)

In this tutorial, I’m going to explain to you an easy way to train YOLO v3 on TensorFlow 2 to detect a custom object even if you’re a beginner or if you have no experience with coding

In this tutorial, I will demonstrate how to use Google Colab (Google's free cloud service for AI developers) to train the Yolo v3 custom object detector with free GPU

In this tutorial, you will learn how to utilize YOLOv3-Tiny the same as we did for YOLOv3 for near real-time object detection

In this tutorial, I will explain to you what is object tracking, where we use it, what are the differences between object detection, and will give you my own working example code

In this tutorial, you will figure out how to use the mAP (mean Average Precision) metric to evaluate the performance of an object detection model

This tutorial will provide step-by-step instructions for how to set up TensorFlow 2.* and run YOLOv3 on the Raspberry Pi

In this article, we'll try to understand YOLOv4 theory and why the release of a new object detection method spread through the internet in just a few days

In this part, we will continue bag-of-specials (BoS) and we’ll cover bag-of-freebies (BoF). Will show you how to train a custom YOLOv4 model

In this part, I will show you how we can optimize our deep learning model and speed it up with TensorRT while running it on NVIDIA GPUs

This tutorial is a brief introduction to multiprocessing in Python. At the end of this tutorial, I will show how I use it to make TensorFlow and YOLO object detection work faster

In many cases, when we want to train a neural network to detect our custom object, it's hard to find that labeled data to download, so in this case, we must do this manually. In this tutorial, I'll show how to speed up this process.

After giving you a lot of explanations about YOLO, I decided to create something fun and exciting, which would be a Counter-Strike Global Offensive game aimbot