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What is Computer Vision?

Computer Vision is a field of Artificial Intelligence (AI) that focuses on enabling machines to interpret and understand visual information from the world. By utilizing various techniques and algorithms, computer vision allows computers to analyze, process, and make decisions based on images and videos, mimicking human visual recognition capabilities. This interdisciplinary domain encompasses areas like image processing, pattern recognition, and machine learning, particularly Deep Learning, to enhance the ability of computers to recognize objects, faces, and scenes.

The main goal of computer vision is to automate tasks that the human visual system can accomplish. For instance, in practical applications, computer vision is utilized in sectors such as healthcare for medical imaging analysis, automotive for self-driving technology, and in retail for enhancing customer experiences through visual data.

Deep Learning plays a crucial role in computer vision, particularly through the implementation of Convolutional Neural Networks (CNNs), which have proven to be exceptionally effective in image classification and object detection tasks. As technology continues to evolve, computer vision expects further advancements in versatility, accuracy, and applicability across various industries, ultimately enhancing our interaction with digital content and the physical world.

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