2026-10-13T21:36:51Zhttps://www.radar-service.eu/oai/OAIHandler10.35097/e4xtyp4hj8sdwrp22026-10-09T11:06:40Zradar4kit
https://dx.doi.org/10.35097/e4xtyp4hj8sdwrp2
Marinov, Zdravko
OmniMedSeg-Endoscopy
Computer Vision for Human Computer Interactions Lab (cv:hci), Institute for Anthropomatics and Robotics (IAR), Karlsruhe Institute of Technology
2026
Computer Science
dataset
Dataset
info:eu-repo/semantics/openAccess
Other
info:eu-repo/semantics/openAccess
Please read the Description for more details about the dataset licenses and terms of use. BAGLS: CC BY-NC-SA 4.0 EAD: CC-BY-NC 3.0 ENDOVIS_15: CC-BY-NC 3.0 FETOSCOPY_PLACENTA: CC BY-NC-SA 4.0 FETREG: CC-BY-NC-SA 4.0 HYPER_KVASIR: CC-BY 4.0 KVASIR_CAPSULE_SEG: 'The use of the KvasirCapsule-SEG dataset is restricted for research and educational purposes. The use of the KvasirCapsule-SEG dataset for commercial purposes is forbidden without prior written permission.' KVASIR_SEG:'The use of the Kvasir-SEG dataset is restricted for research and educational purposes. The use of the Kvasir-SEG dataset for commercial purposes is forbidden without prior written permission.' LARYNGEAL_ENDOSCOPIC: CC-BY 4.0 POLYP_DB: 'Publicly Accessible: The dataset is open for research and educational purposes.' CVC_CLINICDB: 'The use of this database is completely restricted for research and educational purposes. The use of this database is forbidden for commercial purposes.'
This dataset contains 11 converted Endoscopy datasets, part of the OmniMedSeg superset. All datasets are converted to a standardized structure with binary masks for each segmentation target.
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DATASET LICENSE AND CITATION SUMMARY
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QUICK REFERENCE: DATASETS AND LICENSES
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BAGLS: CC BY-NC-SA 4.0
EAD: CC-BY-NC 3.0
ENDOVIS_15: CC-BY-NC 3.0
FETOSCOPY_PLACENTA: CC BY-NC-SA 4.0
FETREG: CC-BY-NC-SA 4.0
HYPER_KVASIR: CC-BY 4.0
KVASIR_CAPSULE_SEG: 'The use of the KvasirCapsule-SEG dataset is restricted for research and educational purposes. The use of the KvasirCapsule-SEG dataset for commercial purposes is forbidden without prior written permission.'
KVASIR_SEG:'The use of the Kvasir-SEG dataset is restricted for research and educational purposes. The use of the Kvasir-SEG dataset for commercial purposes is forbidden without prior written permission.'
LARYNGEAL_ENDOSCOPIC: CC-BY 4.0
POLYP_DB: 'Publicly Accessible: The dataset is open for research and educational purposes.'
CVC_CLINICDB: 'The use of this database is completely restricted for research and educational purposes. The use of this database is forbidden for commercial purposes.'
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DETAILED INFORMATION BY DATASET
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[1] BAGLS
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License: CC BY-NC-SA 4.0
Dataset link: https://zenodo.org/records/3762320
Metadata file: Endoscopy/BAGLS/metadata.json
Citation (bibtex):
@article{gomez2020bagls,
title={BAGLS, a multihospital benchmark for automatic glottis segmentation},
author={G{\'o}mez, Pablo and Kist, Andreas M and Schlegel, Patrick and Berry, David A and Chhetri, Dinesh K and D{\"u}rr, Stephan and Echternach, Matthias and Johnson, Aaron M and Kniesburges, Stefan and Kunduk, Melda and others},
journal={Scientific data},
volume={7},
number={1},
pages={186},
year={2020},
publisher={Nature Publishing Group UK London}
}
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[2] CVC_CLINICDB
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License: he use of this database is completely restricted for research and educational purposes. The use of this database is forbidden for commercial purposes.'
Dataset link: https://polyp.grand-challenge.org/CVCClinicDB/
Metadata file: Endoscopy/CVC_CLINICDB/metadata.json
Citation (bibtex):
@article{bernal2015wm,
title={WM-DOVA maps for accurate polyp highlighting in colonoscopy: Validation vs. saliency maps from physicians},
author={Bernal, Jorge and S{\'a}nchez, F Javier and Fern{\'a}ndez-Esparrach, Gloria and Gil, Debora and Rodr{\'\i}guez, Cristina and Vilari{\~n}o, Fernando},
journal={Computerized medical imaging and graphics},
volume={43},
pages={99--111},
year={2015},
publisher={Elsevier}
}
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[3] EAD
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License: CC-BY-NC 3.0
Dataset link: https://data.mendeley.com/datasets/c7fjbxcgj9/3
Metadata file: Endoscopy/EAD/metadata.json
Citation (bibtex):
@article{ali2019endoscopy,
title={Endoscopy artifact detection (EAD 2019) challenge dataset},
author={Ali, Sharib and Zhou, Felix and Daul, Christian and Braden, Barbara and Bailey, Adam and Realdon, Stefano and East, James and Wagnieres, Georges and Loschenov, Victor and Grisan, Enrico and others},
journal={arXiv preprint arXiv:1905.03209},
year={2019}
}
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[4] ENDOVIS_15
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License: CC-BY-NC 3.0
Dataset link: https://archive.iar.kit.edu/opencas/index.html%3Fq=node%252F30.html
Metadata file: Endoscopy/ENDOVIS_15/metadata.json
Citation (bibtex):
@article{bernal2017comparative,
title={Comparative validation of polyp detection methods in video colonoscopy: results from the MICCAI 2015 endoscopic vision challenge},
author={Bernal, Jorge and Tajkbaksh, Nima and Sanchez, Francisco Javier and Matuszewski, Bogdan J and Chen, Hao and Yu, Lequan and Angermann, Quentin and Romain, Olivier and Rustad, Bj{\o}rn and Balasingham, Ilangko and others},
journal={IEEE transactions on medical imaging},
volume={36},
number={6},
pages={1231--1249},
year={2017},
publisher={IEEE}
}
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[5] FETOSCOPY_PLACENTA
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License: CC BY-NC-SA 4.0
Dataset link: https://rdr.ucl.ac.uk/articles/dataset/Fetoscopy_Placenta_Dataset/30536171
Metadata file: Endoscopy/FETOSCOPY_PLACENTA/metadata.json
Citation (bibtex):
@article{Bano2020,
title = {FetNet: a recurrent convolutional network for occlusion identification in fetoscopic videos},
volume = {15},
ISSN = {1861-6429},
url = {http://dx.doi.org/10.1007/s11548-020-02169-0},
DOI = {10.1007/s11548-020-02169-0},
number = {5},
journal = {International Journal of Computer Assisted Radiology and Surgery},
publisher = {Springer Science and Business Media LLC},
author = {Bano, Sophia and Vasconcelos, Francisco and Vander Poorten, Emmanuel and Vercauteren, Tom and Ourselin, Sebastien and Deprest, Jan and Stoyanov, Danail},
year = {2020},
month = Apr,
pages = {791–801}
}
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[6] FETREG
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License: CC-BY-NC-SA 4.0
Dataset link: https://rdr.ucl.ac.uk/articles/dataset/_b_FetReg_Largescale_Multi-centre_Fetoscopy_Placenta_Dataset_b_/30417166
Metadata file: Endoscopy/FETREG/metadata.json
Citation (bibtex):
@article{Bano2025,
author = "Sophia Bano and Alessandro Casella and Francisco Vasconcelos and Sara Moccia and George Attilakos and Ruwan C. Wimalasundera and Anna L David and Dario Paladini and Jan Deprest and Elena De Momi and Leonardo S. Mattos and Danail Stoyanov",
title = "{FetReg: Largescale Multi-centre Fetoscopy Placenta Dataset}",
year = "2025",
month = "11",
url = "https://rdr.ucl.ac.uk/articles/dataset/_b_FetReg_Largescale_Multi-centre_Fetoscopy_Placenta_Dataset_b_/30417166",
doi = "10.5522/04/30417166.v1"
}
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[7] HYPER_KVASIR
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License: CC-BY 4.0
Dataset link: https://datasets.simula.no/hyper-kvasir/
Metadata file: Endoscopy/HYPER_KVASIR/metadata.json
Citation (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}
}
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[8] KVASIR_CAPSULE_SEG
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License:
- 'The use of the KvasirCapsule-SEG dataset is restricted for research and educational purposes. The use of the KvasirCapsule-SEG dataset for commercial purposes is forbidden without prior written permission.'
Dataset link: https://datasets.simula.no/kvasir-capsule-seg/
Metadata file: Endoscopy/KVASIR_CAPSULE_SEG/metadata.json
Citation (bibtex):
@inproceedings{jha2021nanonet,
title = {Nanonet: Real-time polyp segmentation in
video capsule endoscopy and colonoscopy},
author = {
Jha, Debesh and Tomar, Nikhil Kumar and Ali, Sharib and
Riegler, Michael A and Johansen, H{\aa}vard D and Johansen, Dag and
de Lange, Thomas and Halvorsen, P{\aa}l
},
booktitle = {Proceedings of the 2021 IEEE 34th International
Symposium on Computer-Based Medical Systems (CBMS)},
pages = {37--43},
year = {2021}
}
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[9] KVASIR_SEG
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License: 'The use of the Kvasir-SEG dataset is restricted for research and educational purposes. The use of the Kvasir-SEG dataset for commercial purposes is forbidden without prior written permission
Dataset link: https://datasets.simula.no/kvasir-seg/
Metadata file: Endoscopy/KVASIR_SEG/metadata.json
Citation (bibtex):
@inproceedings{jha2020kvasir, title={Kvasir-seg: A segmented polyp dataset}, author={Jha, Debesh and Smedsrud, Pia H and Riegler, Michael A and Halvorsen, P{\aa}l and de Lange, Thomas and Johansen, Dag and Johansen, H{\aa}vard D}, booktitle={International Conference on Multimedia Modeling}, pages={451--462}, year={2020}, organization={Springer} }
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[10] LARYNGEAL_ENDOSCOPIC
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License: CC-BY 4.0
Dataset link: https://github.com/imesluh/vocalfolds
Metadata file: Endoscopy/LARYNGEAL_ENDOSCOPIC/metadata.json
Citation (bibtex):
@article{Laves2019,
title = {A dataset of laryngeal endoscopic images with comparative study on convolution neural network-based semantic segmentation},
volume = {14},
ISSN = {1861-6429},
url = {http://dx.doi.org/10.1007/s11548-018-01910-0},
DOI = {10.1007/s11548-018-01910-0},
number = {3},
journal = {International Journal of Computer Assisted Radiology and Surgery},
publisher = {Springer Science and Business Media LLC},
author = {Laves, Max-Heinrich and Bicker, Jens and Kahrs, L\"{u}der A. and Ortmaier, Tobias},
year = {2019},
month = Jan,
pages = {483–492}
}
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[11] POLYP_DB
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License: 'Publicly Accessible: The dataset is open for research and educational purposes.'
Dataset link: https://github.com/DebeshJha/PolypDB
Metadata file: Endoscopy/POLYP_DB/metadata.json
Citation (bibtex):
@article{Jha2024PolypDB,
author = {Debesh Jha and et al.},
title = {PolypDB: A Curated Multi-Center Dataset for Development of AI Algorithms in Colonoscopy},
journal = {Arxiv},
year = {2024},
doi = {10.1109/TMI.2024.1234567}
}
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IMPORTANT NOTES
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- All datasets listed are publicly available
- Full metadata is stored in each dataset's metadata.json file
- For CC0-licensed datasets, attribution is appreciated but not required
- For other licenses, please review the specific terms before use
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