Motional

nuScenes Dataset

nuScenes is a large-scale public dataset for autonomous driving released by Motional (formerly nuTonomy). It contains 1,000 driving scenes from Boston and Singapore, with full sensor suites (6 cameras, 5 radars, 1 lidar), 3D bounding box annotations across 23 object classes, and HD-map data. nuScenes is widely used to benchmark 3D detection, tracking, prediction, and panoptic segmentation models, and is distributed via the nuscenes-devkit Python library.

nuScenes Dataset is one of 2 APIs that Motional publishes on the APIs.io network.

Tagged areas include Open Dataset, 3D Perception, Lidar, Radar, and Camera. The published artifact set on APIs.io includes API documentation.

GitHub

Documentation

📖
Documentation
https://www.nuscenes.org

Other Resources

🔗
Repository
https://github.com/nutonomy/nuscenes-devkit
🔗
Download
https://www.nuscenes.org/download

API entry from apis.yml

apis.yml Raw ↑ 
aid: motional:nuscenes
name: nuScenes Dataset
description: nuScenes is a large-scale public dataset for autonomous driving released by Motional (formerly
  nuTonomy). It contains 1,000 driving scenes from Boston and Singapore, with full sensor suites (6 cameras,
  5 radars, 1 lidar), 3D bounding box annotations across 23 object classes, and HD-map data. nuScenes
  is widely used to benchmark 3D detection, tracking, prediction, and panoptic segmentation models, and
  is distributed via the nuscenes-devkit Python library.
humanURL: https://www.nuscenes.org
baseURL: https://github.com/nutonomy/nuscenes-devkit
tags:
- Open Dataset
- 3D Perception
- Lidar
- Radar
- Camera
- Research
properties:
- type: Documentation
  url: https://www.nuscenes.org
- type: Repository
  url: https://github.com/nutonomy/nuscenes-devkit
- type: Download
  url: https://www.nuscenes.org/download