Computer vision

Computer vision allows us to create products that can identify and process objects in images and videos in the same way that we do. Learn about the benefits of this technology at Adobe XD Ideas.

Computer vision is the field of study surrounding how computers see and understand digital images and videos. Computer vision is the theory underlying artificial intelligence systems' ability to see and understand their surrounding environment.

Computer vision is one of the fields of artificial intelligence that trains and enables computers to understand the visual world. Computers can use digital images and deep learning models to accurately identify and classify objects and react to them.

Computer vision is one of the hottest areas of computer science and artificial intelligence research, but it can't yet compete with the power of the human eye. Here's why.

Tensorflow recently added new functionality and now we can extend the API to determine pixel by pixel location of objects of interest. So when would we need this extra granularity?

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9 Applications of Deep Learning for Computer Vision https://machinelearningmastery.com/applications-of-deep-learning-for-computer-vision/

Self-driving cars are the future. Within the next couple of decades, we’ll be able to hop into our cars and essentially be able to do whatever we want, be it having a nap, reading the news or having…

AI Can Now Read Emotions – Should It? https://www.govtech.com/products/AI-Can-Now-Read-Emotions--Should-It.html

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Discover the fundamentals, applications, and latest trends in computer vision, shaping AI-powered innovations across industries.

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Curious marketers use 3-D face maps and algorithms to test consumers' reactions to various foods.

Bandwidth limits mean AI systems need too much DRAM; embedded-FPGA startup thinks its technology can change that

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This sponsored post from Intel explores one of the solutions making computer vision a reality: Intel’s Distribution of OpenVINO toolkit.