TU Munich TU Munich
  • Home
  • News
  • Events
  • About us
  • Team
  • SAB
  • Research
  • Publications
  • Partners
  • Jobs
  • Contact

DynamicEarthNet Challenge

DynamicEarthNet Challenge

Earthvision Virtual Workshop together with the CVPR Conference have set out two challenges for the event´s edition of this year. The DynamicEarthNet Challenge proposed in conjunction with DLR, TUM and Planet aims to stimulate innovation in spatio-temporal machine learning to improve the development of models without the necessity for large-scale annotations, which is often not available in practice. It will award the winners with some fellowships of the Beyond Fellows program of the AI4EO Future Lab at the Technical University of Munich.

The challenge is centered around modeling multi-temporal land cover changes (with few or no training labels) from Planetscope and Sentinel time series data.

Challenge Start: March 1, 2021

Challenge Deadline: June 1, 2021

Take a look here for further details, send your proposal and join our scientific team!

Prev Post
Next Post

Related Articles

Welcome Professor Bamber!
By Munich
October 20, 2021

Welcome Professor Bamber!

READ MORE
Welcome Professor Borges Oliveira!
By Munich
October 20, 2021

Welcome Professor Borges Oliveira!

READ MORE

Recent News

  • The Earth under the Microscope in Deutsches Museum
  • The First AI4EO Symposium of the Future Lab
  • Registration to AI4EO Symposium 2022 is open
  • upcoming: next AI4EO Lab Talk 23 September 2022
  • Melting Glaciers in times of Global Climate Change

Contact us

International AI Future Lab
Ludwig-Bölkow-Campus
Willy-Messerschmitt-Straße 1
85521 Taufkirchen

Mail: ai4eo@tum.de
Tel: +49-89-289-22643
Fax: +49-89-289-23202

Information

  • News
  • Team
  • Research
  • Partners
  • Jobs
  • About us
  • Contact us

Twitter feed

ai4eo_de Follow

Avatar
Avatar @ ·
now

Reply on Twitter Retweet on Twitter Like on Twitter Twitter
Load More...
Legal Disclaimer | Privacy policy