YOLOv5 Custom Object Detection with Code and Dataset Neural Networks and Deep Learning

In this Neural Networks and Deep Learning tutorial, we are going to take a look at YOLOv5 for Custom Object Detection. We will start with our own custom dataset, annotate it with roboflow and load it into google colab. We are going to train a YOLOv5 Model on mugs and see the results at the end of the video. GitHub: Join this channel to get access to exclusive perks: Join the public Discord chat here: I ll be doing other tutorials alongside this one, where we are going to use C++ for Algorithms and Data Structures, and Artificial Intelligence. The purpose of this tutorial and channel is to build an online coding library where different programming languages and computer science topics are stored in the YouTube cloud in one place. Feel free to comment if you have any questions about the things I m going over in the video or just in general, and remember to subscribe to the chan