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1. Computer vision - Wikipedia
Link: https://en.m.wikipedia.org/wiki/Computer_vision
Description: WEBComputer vision tasks include methods for acquiring, processing, analyzing and understanding digital images, and extraction of high-dimensional data from the real world in order to produce numerical or symbolic information, e.g., in the forms of decisions.
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2. What is Computer Vision? | IBM
Link: https://www.ibm.com/topics/computer-vision
Description: WEBComputer vision is a field of artificial intelligence (AI) that uses machine learning and neural networks to teach computers and systems to derive meaningful information from digital images, videos and other visual inputs—and to make recommendations or take actions when they see defects or issues.
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3. A Gentle Introduction to Computer Vision
Link: https://machinelearningmastery.com/what-is-computer-vision/
Description: WEBJul 5, 2019 · Computer Vision, often abbreviated as CV, is defined as a field of study that seeks to develop techniques to help computers “see” and understand the content of digital images such as photographs and videos. The problem of computer vision appears simple because it is trivially solved by people, even very young children.
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4. What Is Computer Vision? (Definition, Examples, Uses) | Built In
Link: https://builtin.com/machine-learning/computer-vision
Description: WEBDec 21, 2022 · Image: Shutterstock / Built In. Computer vision is a field of artificial intelligence (AI) that applies machine learning to images and videos to understand media and make decisions about them. With computer vision, we can, in a sense, give vision to software and technology.
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5. What is Computer Vision in 2024? A Beginners Guide - OpenCV
Link: https://opencv.org/blog/what-is-computer-vision/
Description: WEBDec 6, 2023 · Computer Vision, or CV for short, is a subfield of Artificial Intelligence (AI) that facilitates computers and machines to analyze images and videos. Just like humans, these intelligent systems can make sense of visual data and …
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6. What Is Computer Vision? | Microsoft Azure
Link: https://azure.microsoft.com/en-us/resources/cloud-computing-dictionary/what-is-computer-vision/
Description: WEBComputer vision is a field of computer science that focuses on enabling computers to identify and understand objects and people in images and videos. Like other types of AI, computer vision seeks to perform and automate tasks that replicate human capabilities.
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7. Computer Vision Basics | Coursera
Link: https://www.coursera.org/learn/computer-vision-basics
Description: WEBAbout. Modules. Recommendations. Testimonials. Reviews. What you'll learn. Understand what computer vision is and its goals. Identify some of the key application areas of computer vision. Understand the digital imaging process. Apply mathematical techniques to complete computer vision tasks. Skills you'll gain. Computer Vision.
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8. What is Computer Vision? - Image recognition AI/ML Explained
Link: https://aws.amazon.com/what-is/computer-vision/
Description: WEBComputer vision is a technology that machines use to automatically recognize images and describe them accurately and efficiently. Today, computer systems have access to a large volume of images and video data sourced from or created by smartphones, traffic cameras, security systems, and other devices.
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9. Introduction to Computer Vision | Coursera
Link: https://www.coursera.org/learn/intro-computer-vision
Description: WEBIntroduction to Computer Vision | Coursera. This course is part of Computer Vision for Engineering and Science Specialization. Taught in English. 21 languages available. Some content may not be translated. Instructors: Amanda Wang. +4 more. Enroll for Free. Starts Apr 23. Financial aid available. 5,982 already enrolled. Included with. • Learn more.
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10. Computer vision | Definition, Examples, Applications, & Facts
Link: https://www.britannica.com/technology/computer-vision
Description: WEBApr 4, 2024 · Computer vision, field of artificial intelligence in which programs attempt to identify objects represented in digitized images provided by cameras, thus enabling computers to “see.” Much work has been done on using deep learning and neural networks to help computers process visual information.