Example Concept: Computer vision involves the use of algorithms and models to process and analyze visual data, such as images and videos. This process typically includes steps like image acquisition, preprocessing, feature extraction, and classification. Modern computer vision systems often leverage deep learning techniques, such as convolutional neural networks (CNNs), to achieve high accuracy in tasks like object detection, image segmentation, and image classification.