The Supervised Classification toolbox consists of 18 (machine learning) supervised classifiers. The toolbox is based on the MLRA toolbox, and is organized in a similar way. 

The toolbox starts with User data (labels & spectra) to train the classifiers. A selected classification model can the be applied to an image. 

LabelMeClass is a tool to vizualize an image and manually collect labeled data (labels & spectra). It works by selecting on the vizualized image pixels that then are assigned to a class.