Creating Accurate Human Face Segmentation Datasets with the U-NET Annotation Tool

In this video, we will be demonstrating how to use the U-NET object segmentation data annotation tool for creating highly accurate human face segmentation datasets. We will cover the basics of the tool, including how to load images and annotations, as well as how to use the various annotation tools to create precise masks of human faces. Additionally, we will discuss how these datasets can be used in a variety of applications, such as facial recognition and object detection. Whether you're a researcher, developer, or just someone interested in computer vision, this video will provide valuable insights on how to create high-quality human face segmentation datasets using the U-NET annotation tool. ⭐ 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