3 datasets found

The Argoverse motion forecasting dataset is used to evaluate the proposed method. It contains more than 30K scenarios collected in Pittsburgh and Miami.

The Argoverse 2 motion forecasting dataset contains 250,000 driving scenarios, each 11 seconds long. These scenarios cover 6 geographical regions and represent 763 total hours...

The Argoverse dataset is a large-scale dataset for autonomous driving, containing 3D point clouds, semantic segmentation masks, and instance segmentation masks.