From the course: Top 10 Skills for AI Engineer/AI Ops Engineers
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Computer vision
From the course: Top 10 Skills for AI Engineer/AI Ops Engineers
Computer vision
Computer vision is an AI technology that allows machines to interpret and understand their environment. It works by employing algorithms to analyze digital images or video frames within a given context and extract meaningful information from them. Computer vision has become increasingly important in many areas, particularly robotics, automation, and medical imaging. The technology can be used for a variety of tasks, such as object and facial recognition, motion detection, counting and more. At the heart of computer vision is the ability to detect features in an image or video frame. This is known as feature detection. This process involves locating points of interest in an image or frame, which can then be used to identify objects or people. Other key techniques involved in computer vision include segmentation and tracking. Segmentation is the partitioning of an image into several distinct regions, while tracking involves following the movements of objects across multiple frames of…
Contents
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Skills for AI engineers2m 44s
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Programming languages4m 21s
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Machine learning3m 20s
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Deep learning2m 39s
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Data processing and analysis2m 50s
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Natural language processing3m 35s
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Computer vision2m 48s
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Cloud computing2m 33s
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Big data technologies2m 36s
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DevOps and AIOps3m 23s
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Communication and problem-solving2m 42s
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See you in the next course1m 1s
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