Multiclass object detection uses advanced computer vision algorithms to identify and differentiate between classes of ships, aircraft and vehicles within satellite imagery.

The BYU algorithm tested as well or better than other top object recognition algorithms to be published, including those developed by NYU's Rob Fergus and Thomas Serre of Brown University.