Helmholtz AI CountMeIn Challenge Webinar


Helmholtz AI is proud to announce an exciting data challenge: the Helmholtz AI CountMeIn Challenge. In this challenge, the participant teams will solve a challenging data science problem from the field of remote sensing: A spatially resolved estimate of the population based on satellite images. The task of the challenge is solving the problem up to a target accuracy with the smallest amount of resources possible. In two tracks, two of the most precious resources are addressed. In track GoGreen, the participant contribution wins that used as little energy. For the GoFast track, the task is to use as little time as possible.

This data challenge addresses a scientific audience, and therefore all participants are required to follow Good Scientific Practice. This means that for a valid submission, it is required to make code available, ensure reproducibility and document the steps to the solution. The winning contributions to both tracks can present their solutions at the Helmholtz AI conference 2022.

For both tracks, you will be using the HAICORE installations located at Karlsruhe Institute of Technology (KIT) and Forschungszentrum Jülich (FZJ). The submission will happen on the newly formed Helmholtz Data Challenges Platform.

Do you have further questions, or would you like to get in touch with us? Please, visit our Mattermost channel and join us at the CountMeIn Webinar on May 4, 2022, at 11:00! Don't miss the opportunity, and register to get the link to the webinar.



Learn more: https://bit.ly/CountMeInChallenge

Please, use the following link and code to access the event: https://tum-conf.zoom.us/j/9189285262 (Access code: 824799)

    • 11:00 AM 11:15 AM
      Welcome and Introduction to the Challenge 15m
      Speakers: Andres Camero Unzueta (DLR), Sugandha Doda (DLR, TUM)
    • 11:15 AM 11:25 AM
      GoGreen and GoFast 10m
      Speaker: Stefan Kesselheim (FZJ)
    • 11:25 AM 11:45 AM
      Guided tour: The starter-pack 20m
      Speaker: Roshni Kamath (FZJ)
    • 11:45 AM 12:00 PM
      Q&A 15m
      Speaker: Andres Camero Unzueta (DLR)