Science Score: 18.0%
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
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○.zenodo.json file
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○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: 10 months ago
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JSON representation
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Repository
Generic Multiple Object Tracking
Basic Info
- Host: GitHub
- Owner: dataset-ninja
- License: other
- Language: Python
- Default Branch: main
- Size: 13.2 MB
Statistics
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
- Releases: 0
Created over 2 years ago
· Last pushed over 2 years ago
Metadata Files
Readme
License
Citation
README.md
GMOT-40: Generic Multiple Object Tracking Dataset
GMOT-40 is a dataset for object detection and identification 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 GMOT-40 data, please cite the following reference:
``` bibtex
@inproceedings{bai2021gmot,
title={GMOT-40: A Benchmark for Generic Multiple Object Tracking},
author={Bai, Hexin and Cheng, Wensheng and Chu, Peng and Liu, Juehuan and Zhang, Kai and Ling, Haibin},
booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
pages={6719--6728},
year={2021}
}
```
[Source](https://spritea.github.io/GMOT40/)
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Dependencies
requirements.txt
pypi