Regardless of whether you are a professional software developer or a novice programmer, the OpenCV library will be interesting for graduate students, researchers, and computer programmers in image-processing and computer vision areas. The library has gained popularity among scientists and academics because many state-of-the-art computer vision algorithms are provided by this library.
Additionally, it is often used as a teaching tool for both computer vision and machine learning. It should be taken into account that OpenCV is robust enough to support real-world applications. That is why OpenCV can be used for non-commercial and commercial products. For example, it is used by companies such as Google, Microsoft, Intel, IBM, Sony, and Honda. Research institutes in leading universities, such as MIT, CMU, or Stanford, provide support for the library. OpenCV has been adopted all around the world. It has more than 14 million downloads and more than 47,000 people in its community.