Package: av2
Argoverse 2 APIOfficialGitHub repository for theArgoverse 2family of datasets.If you have any questions or run into any problems with either the data or API, please feel free to open aGitHub issue!AnnouncementsArgoverse competitions are live!Argoverse 23D Object DetectionChallenge Link:https://eval.ai/challenge/1710/overviewBaseline:https://github.com/benjaminrwilson/torchbox3dMotion ForecastingChallenge Link:https://eval.ai/challenge/1719/overviewArgoverse 1StereoChallenge Link:https://eval.ai/challenge/1704/overviewTL;DRInstall the API:pip install av2Read theinstructionsto download the data.OverviewSetupDatasetsTestingContributingCitingLicenseGetting StartedSetupThe easiest way to install the API is viapipby running the following command:pipinstallav2DatasetsTheArgoverse 2family consists offourdistinct datasets:Dataset NameScenariosCamera ImageryLidarMapsAdditional InformationSensor1,000:white_check_mark::white_check_mark::white_check_mark:Sensor Dataset READMELidar20,000:white_check_mark::white_check_mark:Lidar Dataset READMEMotion Forecasting250,000:white_check_mark:Motion Forecasting Dataset READMEMap Change (Trust, but Verify)1,045:white_check_mark::white_check_mark::white_check_mark:Map Change Dataset READMEPlease seeDOWNLOAD.mdfor detailed instructions on how to download each dataset.Sensor DatasetLidar DatasetMotion Forecasting DatasetMap Change Dataset (Trust, but Verify)Map APIPlease refer to themap READMEfor additional details about the common format for vector and
raster maps that we employ across all AV2 datasets.Compatibility MatrixPython VersionlinuxmacOSwindows3.8:white_check_mark::white_check_mark::white_check_mark:3.9:white_check_mark::white_check_mark::white_check_mark:3.10:white_check_mark::white_check_mark::white_check_mark:TestingAll incoming pull requests are tested usingnoxas
part of the CI process. This ensures that the latest version of the API is always stable on all supported platforms. You
can run the full suite of automated checks and tests locally using the following command:nox-rContributingHave a cool feature you'd like to add? Found an unhandled corner case? The Argoverse team welcomes contributions from
the open source community - please open a PR using the followingtemplate!CitingPlease use the following citation when referencing theArgoverse 2Sensor,Lidar, orMotion ForecastingDatasets:@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 theArgoverse 2Map ChangeDataset:@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}}LicenseAll code provided within this repository is released under theMIT licenseand bound by theArgoverseterms of use,
please seeLICENSEandNOTICEfor additional details.