AI4EO is dedicated to organising cutting-edge artificial intelligence-based challenges in partnership with esteemed partners and sponsors. These challenges not only promote the growth and engagement of the AI4EO community, but also provide a platform for researchers and coders to showcase their work and make a tangible impact in solving some of society’s most pressing challenges. By leveraging AI technology and utilising Earth observation data, we aim to extract valuable insights and information to drive positive change.
AI4EO is an initiative of ESA Φ-lab implemented by a consortium of private companies and startups composed of SpaceTec Partners, Planetek Italia, Sinergise, GMATICS and EarthPulse.
New challenge!Get ready for lift-off
The OrbitalAI Challenge is here and we’re excited to invite you to take part! We challenge you to showcase your expertise by building an innovative onboard AI application for either Φsat-2 or the International Space Station (ISS).
Join us in pushing the boundaries of AI in space!
Permanently open challenge
A collaboration between KP Labs, ESA & partner QZ Solutions, and empowered by the AI4EO Challenges by ESA Φ-lab, this challenge revolutionizes the future of farming with the help of in-orbit processing!
#HYPERVIEWCheck out the leaderboard!
“This exciting challenge aims to explore the cutting-edge possibilities of in-orbit data processing and its potential to drive progress in earth sustainability, business, industry, and science. […]
An extraordinary challenge has been created to bring together Artificial Intelligence (AI) and Earth Observation (EO) players to address the challenge of “automated sea ice mapping” from Sentinel-1 SAR data. […]
The HYPERVIEW challenge aims to advance the state of the art by using cutting-edge hyperspectral imaging technology. […]
AI4EO Challenges, an initiative from Φ-lab of ESA’s Directorate of Earth Observation Programmes, strives to bring the worlds of AI and EO closer to encourage interaction and collaboration.
When large amounts of data is captured by remote sensing devices on EO satellites, our computers and AI algorithms can be used to help us solve problems. They can learn to recognise patterns and find correlations that humans would otherwise miss.
EO data allows us to gather global information about our planet Earth’s physical, chemical and biological systems via satellites carrying remote sensing devices.