GeoAI Challenge

Everything happens somewhere – applying machine learning to geospatial analysis

Join the GeoAI Challenge in 2024 (third edition), a competition aimed at providing solutions for collaboratively addressing real-world geospatial problems by applying artificial intelligence (AI)/machine learning (ML).  Through this platform, participants will attempt to address the UN Sustainable Development Goals (SDGs) related problems using real-world data. In addition, participants will acquire hands-on experience in AI/ML in areas relevant to solving SDGs and compete for prizes, recognition, and certificates.

Join the GeoAI Challenge in 2024 (third edition), a competition aimed at providing solutions for collaboratively addressing real-world geospatial problems by applying artificial intelligence (AI)/machine learning (ML).  Through this platform, participants will attempt to address the UN Sustainable Development Goals (SDGs) related problems using real-world data. In addition, participants will acquire hands-on experience in AI/ML in areas relevant to solving SDGs and compete for prizes, recognition, and certificates.

Compute platform

ITU provides a state-of-the-art, free-of-charge compute platform to participants of the Challenge who do not have adequate access to compute in their respective institutions. The compute platform will provide participants with access to:

 

  • Free GPUs and CPUs
  • Hosted Jupyter notebook server
  • Python kernel
  • Pre-installed machine learning packages, e.g. PyTorch and Tensorflow

 

In some of the problem statements, a baseline or reference solution may be offered which may include implementations using Jupyter notebooks.

The GeoAI Challenge features five problem statements

Agricultural plastic cover mapping with satellite imagery

Curated by FAO (Food and Agriculture Organization)

Ground-level NO2 Estimation Challenge

Curated by Politecnico de Milano Politecnico di Milano, Department of Civil and Environmental Engineering and University of Padua, Interdepartmental Research Centre in Geomatics (CIRGEO)

Clandestine runways detection in the Peruvian Amazonian basin with open source satellite

Curated by (UNODC) United Nations Office on Drugs and Crime

Vegetation Mapping Challenge

Curated by The National Institute of Statistics and Geography (INEGI)

Human Settlement Detection Challenge

Curated by The National Institute of Statistics and Geography (INEGI)

GeoAI Challenge Timeline

February – June 2024

July – October 2024

November – December 2024

Curation Phase

Competition Phase

Evaluation Phase

GeoAI Challenge Timeline

February – June 2024

Curation Phase

July – October 2024

Competition Phase

November – December 2024

Evaluation phase

Everything happens somewhere

Sky

GEOAI-DataSources-SKY-01

Ground

GEOAI-DataSources-GROUND-01
GEOAI-DataSources-GROUND-UserGen-03

Water + below surface level

GEOAI-DataSources-BELOWGROUND-01
Related sessions
26 June 2024
10:00 - 11:00 CEST Geneva | 04:00-05:00 EDT, New York | 16:00-17:00 CST, Beijing
Hamid Mehmood (Economic and Social Commission for Asia and the Pacific), Maria Antonia Brovelli (Politecnico di Milano)
9 July 2024
15:00 - 16:00 CEST Geneva | 09:00-10:00 EDT, New York | 21:00-22:00 CST, Beijing
Andrea Manara (ITU), Maria Antonia Brovelli (Politecnico di Milano), Pengyu Hao (FAO)...

Benefits

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Crowdsourcing multiple solutions for high-impact problems that could improve real production AI/ML systems

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Increasing awareness about the problem domain and your work either in research or business

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Access to a growing and highly skilled talent pool of AI researchers, students, and professionals interested in the same problems as your group for further collaborations or hiring

Technical partners

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Sponsorship Inquiries​






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