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Computer Vision refers to the field of study focused on enabling computers to interpret and understand visual information from the world, effectively seeing and processing images and videos as humans do. It involves unsupervised learning techniques, where algorithms discover underlying patterns in data without explicit labeling, enabling them to learn from vast, unstructured visual datasets. By analyzing these patterns, computer vision models can recognize and classify objects, detect anomalies, track motion, and generate descriptions, among other tasks. In the context of artificial neural networks, computer vision plays a crucial role in developing deep learning architectures that mimic the human brain's ability to process visual data. As part of artificial intelligence, computer vision contributes significantly to advancing self-driving cars, medical imaging analysis, facial recognition, and augmented reality applications.