What you should know about computer vision
Computer vision is the field of artificial intelligence and computer science that deals with enabling computers to interpret and understand visual information from the world around us. It involves developing algorithms and techniques that can enable computers to recognize, analyze, and understand visual data from various sources such as images, videos, and digital cameras. The goal is to replicate and enhance human visual perception abilities, including object recognition, detection, segmentation, tracking, and motion analysis.
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Some of the key tasks that computer vision involves include image classification, object detection, semantic segmentation, pose estimation, optical character recognition, and facial recognition. These tasks are achieved through advanced machine learning models and deep neural networks that are trained on huge amounts of visual data.
Computer vision has several applications in various industries, including healthcare, automotive, robotics, surveillance, entertainment, and agriculture. Some of the most notable applications of computer vision include self-driving cars, facial recognition, augmented reality, medical image analysis, and object detection in security systems. The field of computer vision is rapidly advancing, and its potential is yet to be fully explored and realized.
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