saras-esad-2020

SARAS-ESAD 2020

https://github.com/dataset-ninja/saras-esad-2020

Science Score: 44.0%

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CITATION.cff file
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codemeta.json file
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.zenodo.json file
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DOI references
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Institutional organization owner
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JOSS paper metadata
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Scientific vocabulary similarity
Low similarity (0.4%) to scientific vocabulary

Last synced: 6 months ago · JSON representation ·

Repository

SARAS-ESAD 2020

Basic Info

Host: GitHub
Owner: dataset-ninja
License: other
Language: Python
Default Branch: main
Homepage:
Size: 43.4 MB

Statistics

Stars: 0
Watchers: 1
Forks: 0
Open Issues: 0
Releases: 0

Created over 2 years ago · Last pushed 7 months ago

Metadata Files

Readme License Citation

README.md

SARAS Endoscopic Vision Challenge for Surgeon Action Detection 2020

SARAS-ESAD 2020 is a dataset for object detection task.

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 SARAS-ESAD 2020 data, please cite the following reference:

```bibtex
@misc{bawa2020esad,
      title={ESAD: Endoscopic Surgeon Action Detection Dataset}, 
      author={Vivek Singh Bawa and Gurkirt Singh and Francis KapingA and Inna Skarga-Bandurova and Alice Leporini and Carmela Landolfo and Armando Stabile and Francesco Setti and Riccardo Muradore and Elettra Oleari and Fabio Cuzzolin},
      year={2020},
      eprint={2006.07164},
      archivePrefix={arXiv},
      primaryClass={cs.CV}
}
```

[Source](https://arxiv.org/abs/2006.07164)

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Dependencies

requirements.txt pypi

ecosyste.ms

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Open Source Science