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Computer Vision refers to the field of study focused on enabling computers to interpret and understand visual data in the same way humans do. It involves designing algorithms and models that can process, analyze, and make sense of images and videos. As part of Machine Learning Methods, Computer Vision leverages statistical methods to learn from data, identify patterns, and make predictions about visual content. This field is closely related to Artificial Intelligence Algorithms, where it applies advanced techniques such as deep learning, neural networks, and pattern recognition to extract meaningful information from visual data. By doing so, Computer Vision plays a crucial role in advancing Technology and facilitating numerous applications, including image recognition, autonomous vehicles, facial detection, medical imaging analysis, and more. It represents the capability of machines to perceive and interpret the visual world, thereby bridging the gap between human vision and artificial intelligence.