Testing Dataset of Capsule Vision 2024 Challenge

We present the testing dataset to be utilized in the Capsule Vision 2024 Challenge: Multi-Class Abnormality Classification for Video Capsule Endoscopy. It is being virtually organized by the Research Center for Medical Image Analysis and Artificial Intelligence (MIAAI), Department of Medicine, Danube Private University, Krems, Austria and Medical Imaging and Signal Analysis Hub (MISAHUB) in collaboration with the 9th International Conference on Computer Vision &amp; Image Processing (CVIP 2024) being organized by the Indian Institute of Information Technology, Design and Manufacturing (IIITDM) Kancheepuram, Chennai, India. Datasets can only be utilized for research purposes.For more information, please check the following links:Challenge hosting website: https://misahub2023.github.io/cv2024.htmlChallenge arXiv: https://arxiv.org/abs/2408.04940Challenge Github: https://github.com/misahub2023/Capsule-Vision-2024-Challenge<b>Update: </b>The challenge has been completed. The ground truth has been released in version 2. For instructions on how to correctly use the ground truth file, please refer to the evaluation folder by the organizing team on the challenge github (link: https://github.com/misahub2023/Capsule-Vision-2024-Challenge.) Test set with with seperated folders of each class label have also been released.