The Novel Machine-learning-based Automatic Fly-behavioral Detection and Annotation system uses cameras and a newly developed software to track and identify complex interactive behaviors of individual flies within a larger group, allowing researchers to compare and contrast the behaviors of fruit flies with different genetic backgrounds.