Overview
nuScenes is a public, large-scale dataset designed to advance research in autonomous driving. It provides a comprehensive collection of sensor data, including images from six cameras, LiDAR point clouds, radar data, GPS information, and vehicle telemetry, all synchronized and annotated. The dataset covers diverse driving scenarios in urban environments, collected in Boston and Singapore. nuScenes is primarily used for tasks such as object detection, tracking, and scene understanding. Researchers and developers in the fields of robotics, computer vision, and autonomous driving leverage nuScenes to train and evaluate their algorithms. It includes detailed 3D bounding box annotations for a wide range of objects, semantic map information, and attributes for each object instance.
Common tasks