  Whilst many technologies are built around endoscopy, there is a need to have
a comprehensive dataset collected from multiple centers to address the
generalization issues with most deep learning frameworks. What could be more
important than disease detection and localization? Through our extensive
network of clinical and computational experts, we have collected, curated and
annotated gastrointestinal endoscopy video frames. We have released this
dataset and have launched disease detection and segmentation challenge EDD2020
https://edd2020.grand-challenge.org to address the limitations and explore new
directions. EDD2020 is a crowd sourcing initiative to test the feasibility of
recent deep learning methods and to promote research for building robust
technologies. In this paper, we provide an overview of the EDD2020 dataset,
challenge tasks, evaluation strategies and a short summary of results on test
data. A detailed paper will be drafted after the challenge workshop with more
detailed analysis of the results.
