Data · dataset · 2026
OmniMedSeg-Endoscopy
Listed in RADAR and RADAR4Memory — shown once because both records carry DOI 10.35097/e4xtyp4hj8sdwrp2
This dataset contains 11 converted Endoscopy datasets, part of the OmniMedSeg superset.
Description
All datasets are converted to a standardized structure with binary masks for each segmentation target. ================================================================================ DATASET LICENSE AND CITATION SUMMARY ================================================================================ -------------------------------------------------------------------------------- QUICK REFERENCE: DATASETS AND LICENSES -------------------------------------------------------------------------------- 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.
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The use of this database is forbidden for commercial purposes.' ================================================================================ DETAILED INFORMATION BY DATASET ================================================================================ [1] BAGLS ---------------------------------------- License: CC BY-NC-SA 4.0 Dataset link: 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} } ---------------------------------------- [2] CVC_CLINICDB ---------------------------------------- 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: 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} } ---------------------------------------- [3] EAD ---------------------------------------- License: CC-BY-NC 3.0 Dataset link: 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} } ---------------------------------------- [4] ENDOVIS_15 ---------------------------------------- License: CC-BY-NC 3.0 Dataset link: 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} } ---------------------------------------- [5] FETOSCOPY_PLACENTA ---------------------------------------- License: CC BY-NC-SA 4.0 Dataset link: 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 = {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} } ---------------------------------------- [6] FETREG ---------------------------------------- License: CC-BY-NC-SA 4.0 Dataset link: 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 = "rdr.ucl.ac.uk/articles/dataset/_b_FetReg_Largescale_Multi-centre_Fetoscopy_Placenta_Dataset_b_/30417166", doi = "10.5522/04/30417166.v1" } ---------------------------------------- [7] HYPER_KVASIR ---------------------------------------- License: CC-BY 4.0 Dataset link: 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 = {doi.org/10.1038/s41597-020-00622-y}, volume = {7}, year = {2020} } ---------------------------------------- [8] KVASIR_CAPSULE_SEG ---------------------------------------- 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: 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} } ---------------------------------------- [9] KVASIR_SEG ---------------------------------------- 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: 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} } ---------------------------------------- [10] LARYNGEAL_ENDOSCOPIC ---------------------------------------- License: CC-BY 4.0 Dataset link: 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 = {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} } ---------------------------------------- [11] POLYP_DB ---------------------------------------- License: 'Publicly Accessible: The dataset is open for research and educational purposes.' Dataset link: 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} } ---------------------------------------- ---------------------------------------- ================================================================================ IMPORTANT NOTES ================================================================================ - 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
Links
Where it is published
- DOI doi.org/10.35097/e4xtyp4hj8sdwrp2 ↗
DOI / persistent id · from radar service eu de
Catalogue records · 1
- OAI-PMH record radar-service.eu/oai/OAIHandler?verb=GetRecord&metadataPrefix=oai_dc&identifier… ↗
metadata API · from radar service eu de
Topics
Provenance · 2 source records, 12 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| RADAR | 10.35097/e4xtyp4hj8sdwrp2 | 12 d ago | JSON v1 |
| RADAR4Memory | 10.35097/e4xtyp4hj8sdwrp2 | 12 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · radar service eu de | connector:radar_service_eu_de@1.0.0 | |
| concepts[field].local:field:computer-science-ai | mapping · radar4memory radar service eu | connector:radar4memory_radar_service_eu@1.0.0 | |
| concepts[field].local:field:computer-science-ai | mapping · radar service eu de | connector:radar_service_eu_de@1.0.0 | |
| concepts[field].local:field:earth-environmental | mapping · radar4memory radar service eu | connector:radar4memory_radar_service_eu@1.0.0 | |
| concepts[field].local:field:earth-environmental | mapping · radar service eu de | connector:radar_service_eu_de@1.0.0 | |
| concepts[modality].local:modality:image | enrichment · radar service eu de | keyword-concept-rules@1.0.0 | title+description (75%) |
| concepts[modality].local:modality:imaging | enrichment · radar service eu de | keyword-concept-rules@1.0.0 | title+description (75%) |
| concepts[modality].local:modality:video | enrichment · radar service eu de | keyword-concept-rules@1.0.0 | title+description (75%) |
| description | source · radar service eu de | connector:radar_service_eu_de@1.0.0 | /metadata/dc/description |
| license | source · radar service eu de | connector:radar_service_eu_de@1.0.0 | /metadata/dc/rights |
| publication_date | source · radar service eu de | connector:radar_service_eu_de@1.0.0 | |
| title | source · radar service eu de | connector:radar_service_eu_de@1.0.0 | /metadata/dc/title |