OpenCV (Open Source Computer Vision Library) is an open-source computer vision and machine learning software library designed to streamline the development of applications that involve image processing, video analysis, and real-time computer vision. It's utilized in a wide range of industries, from automotive to robotics, enabling developers to implement features such as object detection, facial recognition, image segmentation, and camera calibration. OpenCV is built with C++ in mind but offers bindings for languages like Python, Java, and MATLAB, making it versatile for developers with different programming backgrounds. Its comprehensive set of modules can handle tasks involving 2D and 3D image data, making it a powerful tool for creating cutting-edge machine learning integrated applications. Developers benefit from its extensive documentation, active community, and numerous code samples to facilitate rapid application development and iterative testing. With its continually evolving ecosystem, OpenCV remains a robust foundation for implementing state-of-the-art image processing features in various applications.

View the most prominent open source OpenCV projects in the list below. Click on a specific project to view its alternative or complementary packages.