A cleaned subset of the first five CATARACTS test videos [Data set]

  • This dataset is a subset of the original CATARACTS test dataset and is used by the OpenMIBOOD framework to evaluate a specific out-of-distribution setting. When using this dataset, it is mandatory to cite the corresponding publication (OpenMIBOOD (10.1109/CVPR52734.2025.02410)) and follow the acknowledgement and citation requirements of the original dataset (CATARACTS). The original CATARACTSThis dataset is a subset of the original CATARACTS test dataset and is used by the OpenMIBOOD framework to evaluate a specific out-of-distribution setting. When using this dataset, it is mandatory to cite the corresponding publication (OpenMIBOOD (10.1109/CVPR52734.2025.02410)) and follow the acknowledgement and citation requirements of the original dataset (CATARACTS). The original CATARACTS dataset (associated publication,Homepage) consists of 50 videos of cataract surgeries, split into 25 train and 25 test videos. This subset contains the frames of the first 5 test videos. Further, black frames at the beginning of each video were removed.show moreshow less

Export metadata

Additional Services

Share in Twitter Search Google Scholar Statistics
Metadaten
Author:Max GutbrodORCiD, David RauberOTHORCiD, Danilo Weber NunesORCiD, Christoph PalmOTHORCiDGND
DOI:https://doi.org/10.5281/zenodo.14924735
Document Type:Research Data
Language:English
Year of first Publication:2025
Release Date:2026/02/05
Note:
Related works: 
Is derived from:
Dataset: 10.21227/ac97-8m18 (DOI)

Software:
Repository URL: https://github.com/remic-othr/OpenMIBOOD
Konferenzangabe:The IEEE/CVF Conference on Computer Vision and Pattern Recognition 2025 (CVPR) , Nashville, Tennesse, 11-15 June 2025
file format:.jpg
file size:29.6 GB
file type:Image
Institutes:Fakultät Informatik und Mathematik
Research Center of Biomedical Engineering - RCBE
Research Center of Health Sciences and Technology - RCHST
Research Center for Artificial Intelligence - RCAI
Fakultät Informatik und Mathematik / Labor Regensburg Medical Image Computing (ReMIC)
DFG subject classification:Naturwissenschaften
research focus:Gesundheit und Soziales
Licence (German):Creative Commons - CC BY-NC-SA - Namensnennung - Nicht kommerziell - Weitergabe unter gleichen Bedingungen 4.0 International
Frontdoor-URL:https://opus4.kobv.de/opus4-oth-regensburg/8866
Einverstanden ✔
Diese Webseite verwendet technisch erforderliche Session-Cookies. Durch die weitere Nutzung der Webseite stimmen Sie diesem zu. Unsere Datenschutzerklärung finden Sie hier.