The ability of a software to remember people, places, objects and even writing samples through an image is known as Image Recognition Technology. This approach requires computers to use machine vision technologies in association with AI software and video cameras to perform image recognition. It’s also used to execute a variety of machine-based visual tasks. These tasks include labeling images having content with related meta-tags, executing image content search and supervising robots, auto-driving vehicles, and so forth.
Today, most of the newly invented products depend upon the image recognition feature. For instance, the technology which is used in auto driving vehicles, and the latest smartphones. These devices are capable of sensing objects. Image Recognition is actually a vision of our computers. These computers are capable of taking precise decisions. Their decisions completely rely on what they understand by sensing that particular object. Here, I will explain how the whole procedure of Image Recognition Technology with Deep Learning works and make devices learn.
Read More: Image Recognition with Deep Learning can make Devices Learn
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