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Computer Vision is a specialized field within Artificial Intelligence that focuses on enabling computers to interpret and understand visual data from the world, much like humans do through their eyes. It involves the development of algorithms and models that can process, analyze, and make sense of images and videos, allowing machines to perceive and interact with their surroundings more effectively. In the context of Technology, Computer Vision plays a crucial role in advancing Machine Learning and Data Analysis techniques by providing a way for systems to interpret visual information. By applying sophisticated algorithms and models, computers can learn from vast amounts of visual data, identify patterns, and make predictions or decisions based on what they "see." Computer Vision encompasses various tasks such as image recognition, object detection, facial recognition, motion analysis, and 3D reconstruction. These capabilities have numerous real-world applications across industries, including autonomous vehicles, medical imaging, security systems, and virtual/augmented reality. As a result, Computer Vision significantly contributes to the progression of Artificial Intelligence by enabling more advanced machine perception and understanding of the visual world.