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Computer vision refers to the field of study concerned with enabling computers to interpret and understand visual information from the world, much like humans do. It involves developing algorithms and models that can process, analyze, and make sense of images and videos. Convolutional Neural Networks (CNNs) are a powerful tool in computer vision, as they are particularly well-suited for processing grid-like data such as images. CNNs can learn complex features from raw image data, making them highly effective for tasks such as object detection, image recognition, and segmentation. By leveraging the power of CNNs, computer vision can enable a wide range of applications in fields such as autonomous vehicles, medical imaging, and security surveillance.