Training U-NET on Original Dataset: A Step-by-Step Tutorial

In this tutorial, we will walk you through the process of training U-NET on an original dataset. We will cover the basics of U-NET architecture and dive into the details of dataset preparation, including data augmentation techniques. You will learn how to implement U-NET from scratch, as well as how to fine-tune an existing pre-trained model. We will also share some tips and tricks for optimizing model performance and improving segmentation accuracy. By the end of this tutorial, you will have a solid understanding of how to train U-NET on your own dataset and apply it to a variety of real-world image segmentation tasks. Check out the references below for more information on U-NET tutorials that cover related topics. ⭐ U-NET Segmentation Course: https://www.augmentedstartups.com/U-Net-Segmentation-Specialization-Course ⭐ JOIN our Membership to get access to Source Code: https://bit.ly/Join_AugmentedStartups ===This Video is Sponsored by Altium======= ⭐Download Altium Designer Here - https://bit.ly/DownloadAltium ⭐15 Day FREE Altium Trial - https://bit.ly/FREEAltium ⭐Octopart - https://octopart.com/ ====================================== ===Product Links=== ✔️ Webcam - https://amzn.to/35Ou6yQ ✔️ Deep Learning PC - https://amzn.to/3zRdep3 ✔️ OpenCV Python Books -https://amzn.to/3jb5LLB ✔️ Camera Gear - https://amzn.to/3qrLQd2 ✔️ Drone Kit - https://bit.ly/Drone-kit ✔️ Raspberry Pi 4 - https://amzn.to/3fhSI7c ✔️ OpenCV AI Kit - http://bit.ly/GetOAKNow ✔️ Roboflow - https://roboflow.com/as1 ✔️ Arduino Electronics kit - https://amzn.to/2LgiTQJ ------------------------------------------------------------ Buy me a Coffee/Chai ►https://augmentedstartups.info/BuyMeC... Whatsapp Computer Vision Tribe ►https://augmentedstartups.info/AICVWh... Chat to us on Discord ►https://www.AugmentedStartups.info/di... Interact with us on Facebook ►https://www.AugmentedStartups.info/Fa... Check my latest work on LinkedIn ►https://www.AugmentedStartups.info/Li... ------------------------------------------------------------ #computervision #OpenCV #segmentation