Welcome to the devkit of the nuScenes dataset.

• Changelog
• Dataset download
• Map expansion
• Devkit setup
• Getting started
• Citation

• Jul. 1, 2019: Map expansion pack released.
• Apr. 30, 2019: Devkit v1.0.1: loosen PIP requirements, refine detection challenge, export 2d annotation script.
• Mar. 26, 2019: Full dataset, paper, & devkit v1.0.0 released. Support dropped for teaser data.
• Dec. 20, 2018: Initial evaluation code released. Devkit folders restructured, which breaks backward compatibility.
• Nov. 21, 2018: RADAR filtering and multi sweep aggregation.
• Oct. 4, 2018: Code to parse RADAR data released.
• Sep. 12, 2018: Devkit for teaser dataset released.

To download nuScenes you need to go to the Download page, create an account and agree to the nuScenes Terms of Use. After logging in you will see multiple archives. For the devkit to work you will need to download all archives. Please unpack the archives to the /data/sets/nuscenes folder *without* overwriting folders that occur in multiple archives. Eventually you should have the following folder structure:

/data/sets/nuscenes
    samples	-	Sensor data for keyframes.
    sweeps	-	Sensor data for intermediate frames.
    maps	-	Folder for all map files: rasterized .png images and vectorized .json files.
    v1.0-*	-	JSON tables that include all the meta data and annotations. Each split (trainval, test, mini) is provided in a separate folder.

If you want to use another folder, specify the dataroot parameter of the NuScenes class (see tutorial).

In July 2019 we published a map expansion pack with 11 semantic layers (crosswalk, sidewalk, traffic lights, stop lines, lanes, etc.). To install this expansion, please follow these steps:

• Download the expansion pack from the Download page,
• Move the four .json files to your nuScenes maps folder (e.g. /data/sets/nuscenes/maps).
• Get the latest version of the nuscenes-devkit.
• If you already have a previous version of the devkit, update the pip requirements (see details): pip install -r setup/requirements.txt

The devkit is tested for Python 3.6 and Python 3.7. To install Python, please check here.

Our devkit is available and can be installed via pip :

pip install nuscenes-devkit

For an advanced installation, see installation for detailed instructions.

Please follow these steps to make yourself familiar with the nuScenes dataset:

• Read the dataset description.
• Explore the lidar viewer and videos.
• Download the dataset.
• Get the nuscenes-devkit code.
• Read the online tutorial or run it yourself using:

jupyter notebook $HOME/nuscenes-devkit/python-sdk/tutorial.ipynb

• Read the nuScenes paper for a detailed analysis of the dataset.
• Run the map expansion tutorial.
• Take a look at the experimental scripts.
• For instructions related to the object detection task (results format, classes and evaluation metrics), please refer to this readme.
• See the database schema and annotator instructions.
• See the FAQs.

Please use the following citation when referencing nuScenes:

@article{nuscenes2019,
  title={nuScenes: A multimodal dataset for autonomous driving},
  author={Holger Caesar and Varun Bankiti and Alex H. Lang and Sourabh Vora and 
          Venice Erin Liong and Qiang Xu and Anush Krishnan and Yu Pan and 
          Giancarlo Baldan and Oscar Beijbom},
  journal={arXiv preprint arXiv:1903.11027},
  year={2019}
}