Despite explicit political support for the removal of barriers in our built environment, they are still widespread. Therefore, AI-supported mapping and documentation of barrier-free accessibility holds a lot of potential for people who are limited in their mobility. On the one hand, it provides them with the necessary information to navigate through their everyday life in public space. On the other hand, by making problems visible, it creates general incentives for effective improvement measures. But how exactly can AI support us in this task? The first step is to provide open training data. We present such a dataset for detection of steps and stairs.