Street-view imagery (SVI) has become a powerful resource for understanding cities and addressing real-world challenges. Beyond its well-known applications in autonomous vehicles, SVI offers valuable insights for urban safety, mobility, infrastructure planning, economic development, and beyond. In this lecture, we'll build your understanding from the ground up: starting with the fundamentals of how computers process images, exploring traditional computer vision approaches like Convolutional Neural Networks, and discovering how cutting-edge Vision-Language Models can unlock new analytical possibilities with street-view data. With I-GUIDE, he is a member of the 2025-26 cohort of UCGIS Community Champions.