Computer Vision in 2025: From Image Classification to World Understanding

Computer Vision has evolved from simple image classification to comprehensive scene understanding. This in-depth guide covers core CV tasks including object detection, semantic segmentation, and pose estimation. Explore revolutionary advances like SAM, CLIP, NeRF, and foundation models. Discover real-world applications across healthcare, autonomous vehicles, retail, agriculture, and manufacturing, plus the latest techniques in self-supervised learning and efficient vision systems.