nu-images
nuScenes: A multimodal dataset for autonomous driving
Science Score: 44.0%
This score indicates how likely this project is to be science-related based on various indicators:
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✓CITATION.cff file
Found CITATION.cff file -
✓codemeta.json file
Found codemeta.json file -
✓.zenodo.json file
Found .zenodo.json file -
○DOI references
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○Academic publication links
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○Academic email domains
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○Institutional organization owner
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○JOSS paper metadata
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○Scientific vocabulary similarity
Low similarity (0.8%) to scientific vocabulary
Last synced: 6 months ago
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Repository
nuScenes: A multimodal dataset for autonomous driving
Basic Info
- Host: GitHub
- Owner: dataset-ninja
- License: other
- Language: Python
- Default Branch: main
- Size: 29.6 MB
Statistics
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
- Releases: 0
Created about 2 years ago
· Last pushed 7 months ago
Metadata Files
Readme
License
Citation
README.md
nuImages: A Multimodal Dataset for Autonomous Driving
nuImages is a dataset for instance segmentation, semantic segmentation, and object detection tasks.
Owner
- Name: dataset-ninja
- Login: dataset-ninja
- Kind: organization
- Repositories: 1
- Profile: https://github.com/dataset-ninja
Citation (CITATION.md)
If you make use of the nuImages data, please cite the following reference:
``` bibtex
@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}
}
```
[Source](https://www.nuscenes.org/nuimages)
GitHub Events
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- Push event: 2
Last Year
- Push event: 2
Dependencies
requirements.txt
pypi