The S2S-Sim dataset is the first ship collaborative perception simulation dataset developed by Shanghai University.

The research team created this dataset based on the Unity3D platform, including various ship types such as container ships, bulk carriers and cruise ships, and used 64-line lidar equipment for high-precision data collection.

The dataset contains a total of 7,000 frames of data, with 96,881 accurate annotations of ship bounding boxes.Its purpose is to support effective collaborative perception between ships, with a particular focus on research in the field of collaborative perception between autonomous driving systems and ships. The S2S-Sim dataset provides standardized and easy-to-use data support, providing an important data resource for researchers to explore smart shipping.