TLDR: Computer vision, a crucial AI subfield, analyzes visual data from images/videos. It evolved from the 1960s, leveraging machine learning, particularly deep learning. Key milestones include foundational concepts from 1959, the rise of CNNs in the 1980s, and modern developments winning competitions in 2015. Major applications are facial recognition, autonomous vehicles, and augmented reality. Advantages include speed, accuracy, and data processing capacity, while challenges are overfitting, privacy concerns, and complexity. Extensive research continues to drive advancements in this area.
Computer Vision and AI: Transforming Visual Understanding
