To implement some computer vision functionalities into your product, you’ll need a large set of tools and resources: image datasets, libraries with code samples, frameworks for creating and training deep learning models. In particular, image processing and computer vision solutions use deep learning for accomplishing such complex tasks as: To process so much data faster without compromising the final result, developers use image processing models based on machine learning and deep learning algorithms. Similarly to small kids, machines can gain the ability to acquire and understand visual information by processing massive amounts of images. Furthermore, image processing solutions with AI are widely used in various fields, from medicine to law enforcement to cybersecurity and retail.ĪI and machine learning make it possible for the machines to inherit new functionalities through the process of learning.
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But today, Artificial intelligence (AI) technologies allow cars to drive safely across busy streets and computers to interpret pictures almost like humans do.ĭevelopers have made impressive progress on how to implement AI on image processing tasks.
A few decades or even years ago, self-driving cars and computers with a human-like vision were just a figment of the fantasy writer’s imagination.
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