Computer vision is a field of study that focuses on enabling computers to interpret and understand visual information from the world. It involves developing algorithms and models to extract useful information from images and videos, such as object recognition, tracking, and segmentation. Computer vision has a wide range of applications, including autonomous vehicles, security systems, medical imaging, and virtual reality. The process of computer vision involves preprocessing the image data, detecting features or objects, and applying machine learning techniques to classify and interpret the visual information. Challenges in computer vision include dealing with variations in lighting, perspective, and occlusions, as well as balancing accuracy and efficiency on unconstrained environments.