Computer Vision Algorithms

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🔍 Computer Vision Algorithms 

Computer Vision Algorithms are a set of techniques that enable computers to interpret and understand visual information from the world, such as images and videos. These algorithms mimic human vision by extracting, analyzing, and processing visual data to perform tasks like object detection, image classification, face recognition, motion tracking, and scene reconstruction.

By leveraging machine learning and deep learning models—especially convolutional neural networks (CNNs)—modern computer vision systems can automatically learn features and patterns from large datasets. Applications of computer vision span across diverse industries, including autonomous vehicles, healthcare (medical imaging), retail (surveillance and checkout systems), manufacturing (quality inspection), and augmented reality.

These algorithms are continually evolving with advancements in AI, making machines more capable of visual perception and decision-making in real-time environments.


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