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Argoverse 2: Next generation datasets for self-driving perception and forecasting.

Home Page: https://argoverse.github.io/user-guide/

License: MIT License

Shell 0.02% Python 94.18% Rust 4.91% Jupyter Notebook 0.88%

av2-api's Introduction

PyPI Versions CI Status License: MIT

Argoverse 2

Official GitHub repository for the Argoverse 2 family of datasets.

Getting Started

Please see the Argoverse User Guide.

Supported Datasets

Supported Tasks

Citing

Please use the following citation when referencing the Argoverse 2 Sensor, Lidar, or Motion Forecasting Datasets:

@INPROCEEDINGS { Argoverse2,
  author = {Benjamin Wilson and William Qi and Tanmay Agarwal and John Lambert and Jagjeet Singh and Siddhesh Khandelwal and Bowen Pan and Ratnesh Kumar and Andrew Hartnett and Jhony Kaesemodel Pontes and Deva Ramanan and Peter Carr and James Hays},
  title = {Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting},
  booktitle = {Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks (NeurIPS Datasets and Benchmarks 2021)},
  year = {2021}
}

Use the following citation when referencing the Trust, but Verify Map Change Detection Dataset:

@INPROCEEDINGS { TrustButVerify,
  author = {John Lambert and James Hays},
  title = {Trust, but Verify: Cross-Modality Fusion for HD Map Change Detection},
  booktitle = {Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks (NeurIPS Datasets and Benchmarks 2021)},
  year = {2021}
}

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