{"id":255,"date":"2023-03-10T12:50:30","date_gmt":"2023-03-10T12:50:30","guid":{"rendered":"http:\/\/opencas.dkfz.de\/endovis\/?page_id=255"},"modified":"2026-04-14T11:07:53","modified_gmt":"2026-04-14T11:07:53","slug":"datasetspublications","status":"publish","type":"page","link":"https:\/\/opencas.dkfz.de\/endovis\/datasetspublications\/","title":{"rendered":"Datasets & Publications"},"content":{"rendered":"\n

EndoVis 2026<\/h3>\n\n\n\n
Sub-Challenge<\/th>Publication<\/strong><\/th>Dataset<\/strong><\/th><\/tr><\/thead>
RARE2026<\/strong>: Recognition of Anomalies in low-pREvalance cancer<\/a><\/td><\/td><\/td><\/tr>
SurgVu2026<\/strong>: Surgical Visual Understanding<\/a><\/td><\/td><\/td><\/tr>
STIR2026<\/strong>: Surgical Tissue Tracking Using the STIR (Surgical Tattoos in Infrared) Dataset<\/a><\/td><\/td><\/td><\/tr>
TIGER-SQ-AI2026<\/strong>: AI-based surgical quality assessment for thoracic lymphadenectomy in minimally invasive  esophagectomy <\/a><\/td><\/td><\/td><\/tr>
CLiMB2026<\/strong>: Colonoscopy Localization and Mapping Benchmark<\/a><\/td><\/td><\/td><\/tr>
iMED2026<\/strong>: Multi-Endoscope Dataset Novel View Synthesis Challenge<\/a><\/td><\/td><\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n

EndoVis 2025<\/h3>\n\n\n\n
Sub-Challenge<\/th>Publication<\/strong><\/th>Dataset<\/strong><\/th><\/tr><\/thead>
SurgVu:<\/strong> Surgical Visual Understanding<\/a><\/td><\/td><\/td><\/tr>
RARE:<\/strong> Recognition of Anomalies in low-pREvalance cancer<\/a><\/td><\/td><\/td><\/tr>
STIR:<\/strong> Surgical Tissue Tracking Using the STIR (Surgical Tattoos in Infrared) Dataset<\/a><\/td><\/td><\/td><\/tr>
OSS:<\/strong> Open Suturing Skills<\/a><\/td><\/td><\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n

EndoVis 2024<\/h3>\n\n\n\n
Sub-Challenge<\/th>Publication<\/strong><\/th>Dataset<\/strong><\/th><\/tr><\/thead>
PhaKIR: <\/strong>Surgical Procedure Phase Recognition, Keypoint Estimation, and Instrument Instance Segmentation<\/a><\/td>Comparative validation of surgical phase recognition, instrument keypoint estimation, and instrument instance segmentation in endoscopy: Results of the PhaKIR 2024 challenge<\/a><\/td>https:\/\/doi.org\/10.5281\/zenodo.15740620<\/a><\/td><\/tr>
SegSTRONG-C: <\/strong>Segmenting Surgical Tools Robustly On Non-adversarially Generated Corruptions<\/a><\/td><\/td><\/td><\/tr>
SegCol: <\/strong>Semantic Segmentation for Tools and Fold Edges in Colonoscopy data<\/a><\/td><\/td><\/td><\/tr>
SurgVU: <\/strong>Surgical visual understanding<\/a><\/td><\/td><\/td><\/tr>
HiSWA-RLLS:<\/strong> Hierarchical surgical workflow analysis for robotic left lateral sectionectomy<\/a><\/td><\/td><\/td><\/tr>
STIR: <\/strong>Surgical Tissue Tracking Using the STIR (Surgical Tattoos in Infrared) Dataset<\/a><\/td><\/td><\/td><\/tr>
OSS: <\/strong>Open Suturing Skills Challenge<\/a><\/td><\/td>https:\/\/zenodo.org\/records\/7940583<\/a><\/td><\/tr>
FedSurg: <\/strong>Federated Learning for Surgical Vision<\/a><\/td>Federated Learning for Surgical Vision in Appendicitis Classification: Results of the FedSurg EndoVis 2024 Challenge<\/a><\/td><\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n

EndoVis 2023<\/h3>\n\n\n\n
Sub-Challenge<\/th>Publication<\/strong><\/th>Dataset<\/strong><\/th><\/tr><\/thead>
SIMS<\/strong>: Surgical Instrument Multi-Domain Segmentation Challenge<\/a><\/td><\/td>Synapse Project<\/a><\/td><\/tr>
PitVis<\/strong>: Surgical workflow and instrument recognition in endonasal surgery<\/a><\/td>PitVis-2023 Challenge: Workflow Recognition in videos of Endoscopic Pituitary Surgery<\/a><\/td>https:\/\/doi.org\/10.5522\/04\/26531686<\/a><\/td><\/tr>
SurgToolLoc<\/strong>: Surgical Tool Localization in endoscopic videos<\/a><\/td>Intuitive Surgical SurgToolLoc Challenge Results: 2022-2023<\/a><\/td>Surgical Visual Understanding (SurgVU) Dataset<\/a><\/td><\/tr>
Syn-ISS<\/strong>: Synthetic data for Instrument Segmentation in Surgery<\/a><\/td><\/td><\/td><\/tr>
SurgRIPE<\/strong>: Surgical Robot Instrument Pose Estimation<\/a><\/td>SurgRIPE challenge: Benchmark of surgical robot instrument pose estimation<\/a><\/td>Synapse Project<\/a><\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n

EndoVis 2022<\/h3>\n\n\n\n
Sub-Challenge<\/th>Publication<\/strong><\/th>Dataset<\/strong><\/th><\/tr><\/thead>
SurgToolLoc<\/strong>: Endoscopic surgical tool localization by leveraging tool presence labels<\/a><\/td>Intuitive Surgical SurgToolLoc Challenge Results: 2022-2023<\/a><\/td>Surgical Visual Understanding (SurgVU) Dataset<\/a><\/td><\/tr>
CholecTriplet2022<\/strong>: Surgical Action Triplet Detection and Localization<\/a><\/td>CholecTriplet2022: Show me a tool and tell me the triplet – an endoscopic vision challenge for surgical action triplet detection<\/a><\/td>https:\/\/github.com\/CAMMA-public\/cholect45<\/a><\/td><\/tr>
SAR-RARP50:<\/strong> Instrumentation segmentation and Action Recognition on robotic RadicalProstatectomy<\/a><\/td>SAR-RARP50: Segmentation of surgical instrumentation and Action Recognition on Robot-Assisted Radical Prostatectomy Challenge<\/a><\/td>https:\/\/rdr.ucl.ac.uk\/projects\/SAR-RARP50_Segmentation_of_surgical_instrumentation_and_Action_Recognition_on_Robot-Assisted_Radical_Prostatectomy_Challenge\/191091<\/a><\/td><\/tr>
SimCol-to 3D<\/strong>: Simulated Colonoscopy data for 3D (scene) reconstruction<\/a><\/td>SimCol3D – 3D Reconstruction during Colonoscopy Challenge<\/a><\/td>Synapse Project<\/a><\/td><\/tr>
SurgT:<\/strong> a challenge for tissue tracking in surgery<\/a><\/td>SurgT challenge: Benchmark of Soft-Tissue Trackers for Robotic Surgery<\/a><\/td><\/td><\/tr>
P2ILF:<\/strong> Preoperative to Intraoperative Laparoscopy Fusion<\/a><\/td>An objective comparison of methods for augmented reality in laparoscopic liver resection by preoperative-to-intraoperative image fusion from the MICCAI2022 challenge<\/a><\/td><\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n

EndoVis 2021<\/h3>\n\n\n\n
Sub-Challenge<\/th>Publication<\/th>Dataset<\/th><\/tr><\/thead>
HeiSurf<\/strong>: HeiChole Surgical Workflow Analysis and Full Scene Segmentation<\/a><\/td><\/td>Synapse Project<\/a><\/td><\/tr>
GIANA<\/strong>: Gastrointestinal ImAge ANAlysis<\/a><\/td><\/td><\/td><\/tr>
CholecTriplet2021<\/strong>: Surgical Action Triplet Recognition<\/a><\/td>CholecTriplet2021: A benchmark challenge for surgical action triplet recognition<\/a><\/td>https:\/\/github.com\/CAMMA-public\/cholect45<\/a><\/td><\/tr>
FetReg<\/strong>: Placental Vessel Segmentation and Registration in Fetoscopy<\/a><\/td>FetReg: Placental Vessel Segmentation and Registration in Fetoscopy Challenge Dataset<\/a><\/td>https:\/\/weiss-develop.cs.ucl.ac.uk\/fetreg\/<\/a><\/td><\/tr>
PETRAW<\/strong>: PEg TRAnsfer Workflow recognition by different modalities<\/a><\/td>PEg TRAnsfer Workflow recognition challenge report: Does multi-modal data improve recognition?<\/a><\/td>Synapse Project<\/a><\/td><\/tr>
SimSurgSkill<\/strong>: Objective Surgical Skill Assessment in VR Simulation<\/a><\/td>Objective Surgical Skills Assessment and Tool Localization: Results from the MICCAI 2021 SimSurgSkill Challenge<\/a><\/td>https:\/\/console.cloud.google.com\/storage\/browser\/isi-simsurgskill-2021?pli=1<\/a><\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n

EndoVis 2020<\/h3>\n\n\n\n
Sub-Challenge<\/th>Publication<\/th>Dataset<\/th><\/tr><\/thead>
CATARACTS Segmentation<\/strong><\/a><\/td>2020 CATARACTS Semantic Segmentation Challenge<\/a><\/td>https:\/\/ieee-dataport.org\/open-access\/cataracts<\/a><\/td><\/tr>
CATARACTS Workflow<\/strong><\/a><\/td><\/td>https:\/\/ieee-dataport.org\/open-access\/cataracts<\/a><\/td><\/tr>
MIcro-Surgical Anastomose Workflow recognition on training sessions (MISAW<\/strong>)<\/a><\/td>MIcro-surgical anastomose workflow recognition challenge report<\/a><\/td>Synapse Project<\/a><\/td><\/tr>
Surgical visual domain adaptation: from virtual reality to real, clinical environments (SurgVisDm<\/strong>)<\/a><\/td>Surgical Visual Domain Adaptation: Results from the MICCAI 2020 SurgVisDom Challenge<\/a><\/td>Synapse Project<\/a><\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n

EndoVis 2019<\/h3>\n\n\n\n
Sub-Challenge<\/th>Publication<\/th>Dataset<\/th><\/tr><\/thead>
Robust Medical Instrument Segmentation (ROBUST-MIS<\/strong>)<\/a><\/td>Heidelberg colorectal data set for surgical data science in the sensor operating room<\/a>

Comparative validation of multi-instance instrument segmentation in endoscopy: Results of the ROBUST-MIS 2019 challenge<\/a><\/td>		Synapse Project<\/a><\/td><\/tr>
Stereo Correspondence and Reconstruction of Endoscopic Data<\/a><\/td>Stereo Correspondence and Reconstruction of Endoscopic Data Challenge<\/a><\/td><\/td><\/tr>
Surgical Workflow and Skill Analysis<\/a><\/td>Comparative Validation of Machine<\/a>
Learning Algorithms for Surgical Workflow and Skill Analysis with the HeiChole Benchmark<\/a><\/td>		Synapse Project<\/a><\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n

EndoVis 2018<\/h3>\n\n\n\n
Sub-Challenge<\/th>Publication<\/th>Dataset<\/th><\/tr><\/thead>
Gastrointestinal Image ANAlysis (GIANA<\/strong>)<\/a><\/td>Polyp Segmentation in Colonoscopy Images<\/a><\/td><\/td><\/tr>

Surgical Workflow Analysis in the SensorOR<\/a><\/td>		<\/td>Synapse Project<\/a><\/td><\/tr>
Robotic Scene Segmentation<\/a><\/td>2018 Robotic Scene Segmentation Challenge<\/a><\/td>https:\/\/endovissub2018-roboticscenesegmentation.grand-challenge.org\/Data\/<\/a><\/td><\/tr>
CATARACTS<\/a><\/td>CATARACTS: Challenge on automatic tool annotation for cataRACT surgery<\/a><\/td>https:\/\/cataracts2018.grand-challenge.org\/data\/<\/a><\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n

EndoVis 2017<\/h3>\n\n\n\n
Sub-Challenge<\/th>Publication<\/th>Dataset<\/th><\/tr><\/thead>
Gastrointestinal Image ANAlysis (GIANA<\/strong>)<\/a><\/td>Polyp Segmentation in Colonoscopy Images<\/a><\/td><\/td><\/tr>
Surgical Workflow Analysis in the SensorOR<\/a><\/td><\/td>Synapse Project<\/a><\/td><\/tr>
Robotic Instrument Segmentation<\/a><\/td>2017 Robotic Instrument Segmentation Challenge<\/a><\/td>https:\/\/endovissub2017-roboticinstrumentsegmentation.grand-challenge.org\/Data\/<\/a><\/td><\/tr>
Kidney Boundary Detection<\/a><\/td>Kidney edge detection in laparoscopic image data for computer-assisted surgery<\/a><\/td>https:\/\/endovissub2017-kidneyboundarydetection.grand-challenge.org\/Data\/<\/a><\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n

EndoVis 2015<\/h3>\n\n\n\n
Sub-Challenge<\/th>Publication<\/th>Dataset<\/th><\/tr><\/thead>
Instrument segmentation and tracking<\/a><\/td>Comparative evaluation of instrument segmentation and tracking methods in minimally invasive surgery<\/a><\/td><\/td><\/tr>
Automatic polyp detection in colonoscopy videos<\/a><\/td>Comparative Validation of Polyp Detection Methods in Video Colonoscopy: Results From the MICCAI 2015 Endoscopic Vision Challenge<\/a><\/td>https:\/\/polyp.grand-challenge.org\/Databases\/<\/a><\/td><\/tr>
Early Barrett’s cancer detection<\/a><\/td><\/td>https:\/\/endovissub-barrett.grand-challenge.org\/Data_description\/<\/a><\/td><\/tr>
Detection of abnormalities in gastroscopic images<\/a><\/td><\/td>https:\/\/endovissub-abnormal.grand-challenge.org\/Data\/<\/a><\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n

<\/p>\n","protected":false},"excerpt":{"rendered":"

EndoVis 2026 Sub-Challenge Publication Dataset RARE2026: Recognition of Anomalies in low-pREvalance cancer SurgVu2026: Surgical Visual Understanding STIR2026: Surgical Tissue Tracking Using the STIR (Surgical Tattoos in Infrared) Dataset TIGER-SQ-AI2026: AI-based surgical quality assessment for thoracic lymphadenectomy in minimally invasive  esophagectomy  CLiMB2026: Colonoscopy Localization and Mapping Benchmark iMED2026: Multi-Endoscope Dataset Novel View Synthesis Challenge EndoVis 2025 […]<\/p>\n","protected":false},"author":2,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-255","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/opencas.dkfz.de\/endovis\/wp-json\/wp\/v2\/pages\/255","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/opencas.dkfz.de\/endovis\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/opencas.dkfz.de\/endovis\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/opencas.dkfz.de\/endovis\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/opencas.dkfz.de\/endovis\/wp-json\/wp\/v2\/comments?post=255"}],"version-history":[{"count":54,"href":"https:\/\/opencas.dkfz.de\/endovis\/wp-json\/wp\/v2\/pages\/255\/revisions"}],"predecessor-version":[{"id":603,"href":"https:\/\/opencas.dkfz.de\/endovis\/wp-json\/wp\/v2\/pages\/255\/revisions\/603"}],"wp:attachment":[{"href":"https:\/\/opencas.dkfz.de\/endovis\/wp-json\/wp\/v2\/media?parent=255"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}