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fAIr

fAIr is an open, AI-assisted mapping service for humanitarian and development work, from the Humanitarian OpenStreetMap Team (HOT). It is a marketplace and connector for geo-AI models: a mapper picks a model, runs it over their own area to detect features such as buildings or trees, reviews the results, and can adapt the model to local conditions. A mapper stays in control at each step.

The software is free and open source. Predictions are suggestions for a mapper to review, and a mapper chooses what to add to OpenStreetMap.

The fAIr loop: a model is run over an area, results are validated, and improved versions return to the collection.

  Download the fAIr explainer (PDF)

Where fAIr is today

fAIr has grown into an open collection of community-validated models, and is being connected with MapSwipe for training and validation. See Vision for adoption and the direction ahead.

Who it is for

  •   Mapper


    Picks a model and runs it on their own area, then validates the results.

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  •   Advanced user


    Retrains a model for their area and publishes the local version.

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  •   Developer


    Writes new geo-AI models and adds them to fAIr for others to use.

    Learn more

Start here

  •   What is fAIr


    What it is and why it exists.

    Open

  •   How it works


    The model loop and the data pipeline.

    Open

  •   Models


    What fAIr can map, and the open model catalog.

    Open

  •   Using fAIr


    Step-by-step guide to run a model and validate the results.

    Open

  •   Developer setup


    Run the full stack locally and start iterating.

    Open

  •   Datasets


    Published training and prediction data.

    Open

  •   Roadmap


    History and what is planned next.

    Open