SMILEs are “Incremental-Learning Extensible” in a sense that they allow us to train new versions of smile detectors which are subsequently applied upon new image datasets in order to facilitate (or even fully automatize) the labeling of new images, and hence extending an original SMILEs with new images. Simply stated, SMILEs allow us train smileD which helps us to extend SMILEs etc.

Since training of haar cascades is an exhaustive threshrold-finding process demanding not negligible amount of time and computational resources, 5 pregenerated OpenCV-compatible XML smileD haarcascades were trained by opencv-haartraining application and are included with SMILEs in our OpenSource SMILEsmileD package, so that anybody interested could implement our smile detector in copy&use fashion.