TY - CONF A1 - Cantalloube, Faustine A1 - Gomez-Gonzalez, Carlos A1 - Absil, Olivier A1 - Cantero, Carles A1 - Bacher, Regis A1 - Bonse, Markus A1 - Bottom, Michael A1 - Dahlqvist, Carl-Henrik A1 - Desgrange, Célia A1 - Flasseur, Olivier A1 - Fuhrmann, Thomas A1 - Henning, Thomas H. A1 - Jensen-Clem, Rebecca A1 - Kenworthy, Matthew A1 - Mawet, Dimitri A1 - Mesa, Dino A1 - Meshkat, Tiffany A1 - Mouillet, David A1 - Müller, André A1 - Nasedkin, Evert A1 - Pairet, Benoit A1 - Piérard, Sébastien A1 - Ruffio, Jean-Baptiste A1 - Samland, Matthias A1 - Stone, Jordan A1 - van Droogenbroeck, Marc A2 - Schmidt, Dirk A2 - Schreiber, Laura A2 - Vernet, Elise T1 - Exoplanet imaging data challenge: benchmarking the various image processing methods for exoplanet detection T2 - Adaptive Optics Systems VII : 14-22 December 2020, online only, United States N2 - The Exoplanet Imaging Data Challenge is a community-wide effort meant to offer a platform for a fair and common comparison of image processing methods designed for exoplanet direct detection. For this purpose, it gathers on a dedicated repository (Zenodo), data from several high-contrast ground-based instruments worldwide in which we injected synthetic planetary signals. The data challenge is hosted on the CodaLab competition platform, where participants can upload their results. The specifications of the data challenge are published on our website https://exoplanet-imaging-challenge.github.io/. The first phase, launched on the 1st of September 2019 and closed on the 1st of October 2020, consisted in detecting point sources in two types of common data-set in the field of high-contrast imaging: data taken in pupil-tracking mode at one wavelength (subchallenge 1, also referred to as ADI) and multispectral data taken in pupil-tracking mode (subchallenge 2, also referred to as ADI+mSDI). In this paper, we describe the approach, organisational lessons-learnt and current limitations of the data challenge, as well as preliminary results of the participants’ submissions for this first phase. In the future, we plan to provide permanent access to the standard library of data sets and metrics, in order to guide the validation and support the publications of innovative image processing algorithms dedicated to high-contrast imaging of planetary systems. Y1 - 2020 UR - https://opus4.kobv.de/opus4-oth-regensburg/frontdoor/index/index/docId/2675 SN - 9781510636835 PB - SPIE ER -