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Omdena and Humanitarian OpenStreetMap Team

Omdena x HOT: AI for Humanitarian Impact 2025

A year-long open-source AI collaboration using satellite, drone, and street-level imagery to support humanitarian and climate action.

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Children and emergency responders working together
Open-source humanitarian AI

Powerful imagery data for humanitarian decisions.

Omdena and HOT joined forces to extract actionable insight from satellite, drone, and street-level imagery for humanitarian and climate actors worldwide.

The 2025 project cohort

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Applications for this cohort are closed.

APPLICATIONS CLOSED

Machine Learning for Earth Observation

Automating detection and classification of Earth features to improve geospatial data for humanitarian response and development planning.

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APPLICATIONS CLOSED

Street-Level Imagery Analysis

Processing, classifying, and visualizing street-level imagery for urban planning and development.

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APPLICATIONS CLOSED

3D Imagery Analysis & Segmentation

Extracting features from 3D imagery and point-cloud data for city planning, disaster preparedness, and environmental monitoring.

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Why the work mattered

Potential long-term collaboration opportunities with HOT for top performers.

Work on humanitarian response, climate action, and disaster-preparedness challenges.

Build practical geospatial AI experience with a global humanitarian mapping partner.