Easily Create High Quality Object Detectors with Deep Learning

A few years ago I added an implementation of the max-margin object-detection algorithm (MMOD) to dlib. This tool has since become quite popular as it frees the user from tedious tasks like hard negative mining. You simply label things in images and it learns to detect them. It also produces high quality detectors from relatively small amounts of training data. For instance, one of dlib's example programs shows MMOD learning a serviceable face detector from only 4 images.