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Computer Vision refers to the field of study focused on enabling computers to interpret and understand visual data from the world, effectively granting them the ability to "see". It involves designing algorithms and models capable of recognizing, processing, analyzing, and understanding images and videos. This discipline is deeply intertwined with artificial intelligence (AI) and artificial neural networks (ANNs), as they serve as the backbone for creating sophisticated computer vision systems. These systems can be employed in various applications such as image recognition, object detection, facial recognition, autonomous vehicles, medical imaging analysis, and augmented reality. In this hierarchy under Natural Language Processing, Computer Vision addresses the aspect of AI that deals with visual data, thereby complementing and broadening the scope of NLP which typically handles linguistic data.