hyper-kvasir

HyperKvasir: The Largest Gastrointestinal Dataset.

https://github.com/dataset-ninja/hyper-kvasir

Science Score: 44.0%

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CITATION.cff file
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.zenodo.json file
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Scientific vocabulary similarity
Low similarity (1.0%) to scientific vocabulary

Last synced: 6 months ago · JSON representation ·

Repository

HyperKvasir: The Largest Gastrointestinal Dataset.

Basic Info

Host: GitHub
Owner: dataset-ninja
License: other
Language: Python
Default Branch: main
Size: 49.3 MB

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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

HyperKvasir: The Largest Gastrointestinal Dataset (Images)

HyperKvasir Images is a dataset for instance segmentation, semantic segmentation, object detection, classification, and semi-supervised learning 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 HyperKvasir Segmentation data, please cite the following reference:

```bibtex
@article{Borgli2020,
  title = {{HyperKvasir, a comprehensive multi-class
    image and video dataset for gastrointestinal endoscopy}},
  author = {
    Borgli, Hanna and Thambawita, Vajira and
    Smedsrud, Pia H and Hicks, Steven and Jha, Debesh and
    Eskeland, Sigrun L and Randel, Kristin Ranheim and
    Pogorelov, Konstantin and Lux, Mathias and
    Nguyen, Duc Tien Dang and Johansen, Dag and
    Griwodz, Carsten and Stensland, H{\aa}kon K and
    Garcia-Ceja, Enrique and Schmidt, Peter T and
    Hammer, Hugo L and Riegler, Michael A and
    Halvorsen, P{\aa}l and de Lange, Thomas
  },
  doi = {10.1038/s41597-020-00622-y},
  issn = {2052-4463},
  journal = {Scientific Data},
  number = {1},
  pages = {283},
  url = {https://doi.org/10.1038/s41597-020-00622-y},
  volume = {7},
  year = {2020}
}
```

[Source](https://datasets.simula.no/hyper-kvasir/)

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