Understanding Evaluation Metrics for U-NET Testing

In this video, we explore the importance of evaluation metrics in U-NET testing. U-NET is a popular deep learning architecture for image segmentation tasks, and accurate evaluation of the model's performance is critical for ensuring its reliability. ⭐ 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