Panoptic segmentation is a cutting-edge computer vision technique that bridges the gap between object detection and scene segmentation, providing a holistic understanding of an image. By simultaneously identifying individual objects (instance segmentation) and classifying entire regions (semantic segmentation), panoptic segmentation enables more intelligent perception systems in robotics, automation and autonomous vehicles. In this session we will provide a foundational introduction to the topic, covering key concepts, core architectures and real-world applications. Join us to gain an intuitive understanding of how panoptic segmentation works, why it’s valuable and how it compares to traditional vision techniques.