VLFeat (Vision Lab Features Library) is an open-source library aimed at facilitating the implementation of common computer vision algorithms, including interest point detectors, feature extractors, and clustering algorithms. It is designed to be lightweight, efficient, and easy to use, providing tools that are deeply rooted in the academic and industrial research communities. The library supports a variety of programming environments, including C, MATLAB, and Python interfaces, making it accessible to a broad range of users from different backgrounds. VLFeat is especially popular for tasks such as image matching, object recognition, and texture analysis.