This podcast explores how graph data science techniques can enhance computer vision tasks by modeling relationships between visual features. It discusses graph-based representations of images and video, object relationship mapping, and how GNNs improve recognition, segmentation, and scene understanding. Perfect for AI researchers, computer vision engineers, and data scientists working at the intersection of vision and graph analytics.