The aim of SMILEs project is to facilitate and accelerate the construction of smile detectors to anyone willing to do so. Since it is the OpenCV library which dominates the computer vision community, SMILEs package is adapted upon the needs of OpenCV in a sens that it contains 1) negative examples directory 2) positive examples directory 3) negatives.idx - list of files in negative examples directory 4) positives.idx - list of files in positives with associated information containing the coordinates of region of interest (ROI), i.e. the coordinates of the region within which smile can be located.

SMILEs is considered “Multisource” because it originates as an amalgam of already existing datasets like LFW and Genki both of which are, themselves, collections of images downloaded from the Internet. Images from POFA [9] of Cohn-Kanade [10] datasets were not included into SMILEs since restricted access to these datasets is in contradiction with an open source approach1 of SMILEs project.