The goal of the toolbox is to combine common functionalities for training neural networks and performing audit experiments on the trained neural networks. It should be applicable to different use cases in mobility applications and not limited to only a single output type like segmentation maps or 2D bounding boxes. Hence, it is designed to be as extendable as possible while providing generic components as the basis for more concrete and specific functionalities.