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I am really intrigued by the field of computer vision and the potential it has. Are there any examples (preferably implemented in .NET) which I can study along with a reference book?
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Computer Vision Is Difficult Because Hardware Limits It Real-world use cases of Computer Vision require hardware to run, cameras to provide the visual input, and computing hardware for AI inference.
One must possess a solid grasp of Machine Learning and Deep Learning concepts. Also, you must learn any programming languages such as Python, C++, C#, etc., along with mathematical concepts such as calculus, linear algebra, etc., to build a successful career as a computer vision Engineer.
Computer vision is a rapidly growing field in research and applications. Advances in computer vision research are now more directly and immediately applicable to the commercial world. AI developers are implementing computer vision solutions that identify and classify objects and even react to them in real time.
Computer vision is a field of artificial intelligence that trains computers to interpret and understand the visual world. Using digital images from cameras and videos and deep learning models, machines can accurately identify and classify objects — and then react to what they “see.”
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