This talk presents a machine learning framework known as Optimum Path Forest, or OPF for short. It comprises supervised, unsupervised, and semi supervised techniques for pattern classification, content retrieval, and image processing. We will mainly discuss a supervised algorithm for data classification and augmentation and show some applications. A hybrid approach composed of an unsupervised algorithm will also be presented