Argoverse is developed by Argo AI, in collaboration with faculty and students from Carnegie Mellon University and Georgia Institute of Technology. It started with an admiration for KITTI, one of the first publicly available datasets for research into self-driving vehicle perception, and grew into a larger project to provide high quality curated data and detailed maps to improve 3D tracking and motion forecasting models.
Please direct all questions to the Argoverse Github.
License - Data and Documentation.. Argoverse and any associated data or documentation are provided free of charge under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International Public License (“CC BY-NC-SA 4.0”). The full text of the license is accessible at https://creativecommons.org/licenses/by-nc-sa/4.0/legalcode.
License - Code and Documentation. Argoverse code and APIs are licensed under the MIT license, the full text of which can be found at https://opensource.org/licenses/MIT.
Using the Argoverse Non-Commercially. We license Argoverse data and documents to you for non-commercial use only. Under the terms of the CC BY-NC-SA 4.0 “non-commercial” means “not primarily intended for or directed towards commercial advantage or monetary compensation.” To assist you in determining whether your contemplated use is non-commercial, we make available the following examples:
Example 1, Acceptable Use:
You are a researcher at an academic institution, working on computer vision and prediction. You use the Argoverse dataset to further your research and publish results based on the Argoverse benchmark. Your published paper includes imagery and figures derived from the Argoverse dataset. The imagery and figures are attributed to Argo and a hyperlink to the text of the CC-BY-NC-SA 4.0 license is provided.
Example 2, Acceptable Use:
You are a researcher at an autonomous vehicle company. You are submitting your image-based pose estimation algorithm to a major conference for public review. You use the Argoverse dataset to train and evaluate your method. You publish the results of the comparison publicly. The Argoverse data in your paper is attributed in accordance with the CC-BY-NC-SA 4.0 license.
Example 3, Prohibited Use:
You are an engineer at an autonomous vehicle company. You use the Argoverse dataset to train a prototype detection model for use on your company’s AV at a test track. You use this prototype detection model as a placeholder until you build a large enough internal dataset to train your model.
Example 4, Prohibited Use:
You are an engineer at a company that produces a robotics platform for sale. You train the prediction and detection machine learning model in your company’s product on data from the Argoverse dataset. Your company releases the product for sale with the model you trained against Argoverse data.
Suggestions: If you use Argoverse and identify areas that could benefit from changes, we would like to hear from you. Please submit any comments on the issues page of our GitHub repository. If you submit your changes, you may be required to confirm that your changes are subject to CC BY-NC-SA 4.0.
Attribution. Please follow the attribution guidelines provided in section 3.A. of CC-BY-NC-SA 4.0 license with the copyright notice being “© 2018-2019 Argo AI, LLC” for Argoverse 1.0 and 1.1, and “© 2021 Argo AI, LLC” for Argoverse 2.0. API attribution shall comply with the MIT license.
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Please note that we do not apply any facial recognition or other personally identifying technology to the images and other data in the Argoverse dataset, and thus, we cannot provide or delete any such information in response to a data subject request.
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