Loading...
Loading...
Available on 1 platform
Sign in to view source links and access this dataset
MultiCorrupt is a benchmark dataset for evaluating the robustness of multi-modal 3D object detection models in autonomous driving. The dataset was created by researchers from RWTH Aachen University and TU Berlin and was last updated on March 27, 2025. It focuses on testing LiDAR-camera fusion models against various corruptions.
License is listed as 'cc By Nc Sa 40' in platform tags, indicating a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 license, which restricts commercial use.