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Deep learning has been a game changer in the field of computer vision. It’s widely used to teach computers to “see” and analyze the environment similarly to the way humans do. Its applications include self-driven cars, robotics, data analysis, and much more.
In this blog post, we will explain in detail the applications of deep learning for computer vision. But before doing that, let’s understand what computer vision and deep learning are.
What is computer vision?
Computer vision (CV) is a field of artificial intelligence that enables computers to extract information from images, videos, and other visual sources.
As a scientific discipline, computer vision is concerned with the theory behind artificial systems that extract information from images. As a technological discipline, computer vision seeks to apply its theories in the development of practical computer vision systems. The overall goal of computer vision is to develop systems that can automatically recognize, process, and interpret visual content to solve tasks in a variety of areas. Computer vision is used for video surveillance, public safety, and, more recently, for driver assistance in cars, and the automation of processes such as manufacturing and logistics.
