Philosys Label Editor is used during development and test of diverse Advanced Driver Assistance Systems (ADAS) for ground-truth-data collection. Various objects are manually or automatically marked and tagged with detailed traits. All kinds of vehicles, lane boundaries, traffic signs as well as pedestrians and wildlife are registered and verified by the assistance system for use during validation, and the data can be used for generating reference data for Deep Neural network (DNN) machine learning and validation.

The ADTF based Philosys Label Editor is available as of the beginning of 2011. Its many features facilitate the annotation of video scenes and reference data. This results in a significant cost reduction for the annotation process.