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Dear students and professionals from around the globe,
WG5 of UN Open GIS Initiative invites you to solve real-world geospatial problems with real-world data by applying artificial intelligence (AI) / machine learning (ML) to advance the United Nations Sustainable Development Goals (SDGs).
Problem statement for the GeoAI Challenge: - “Cropland mapping with satellite imagery”, curated by FAO, the Food and Agriculture Organization of the United Nations, in cooperation with the UN Open GIS Initiative (The guideline is attached).
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 statement, a baseline or reference solution may be offered which may include implementations using Jupyter notebooks.
Webinars, roundtables and hands-on sessions accompany the GeoAI Challenge. Winners receive cash prizes and certificates. >> More information: https://aiforgood.itu.int/event/launch-of-the-itu-geoai-challenge/
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