Which of the following libraries would you likely use for computer vision tasks in AI?

OpenCV is a widely recognized open-source library specifically designed for computer vision tasks such as image processing, object detection, and real-time computer vision applications. It provides a comprehensive suite of tools and functions that cater to various aspects of computer vision, including image manipulation, feature detection, and machine learning integrations tailored for vision-related tasks.

The other libraries mentioned serve different primary purposes. Matplotlib is mainly used for data visualization and creating static, animated, and interactive plots in Python, which doesn't focus on computer vision directly. NumPy provides support for large, multi-dimensional arrays and matrices, along with a collection of mathematical functions, making it vital for numerical computations but not exclusively for vision applications. Scikit-learn is centered on machine learning and is primarily utilized for processing data and building predictive models rather than specifically addressing computer vision problems. Thus, OpenCV stands out as the most suitable option for tasks relating to computer vision.