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Using fAIr

This manual is a step-by-step guide to getting started with fAIr, aimed at mappers and community project managers.

The five steps to use fAIr: check the model exists, get the imagery, map training samples, train the model, then predict and share.

Step-by-step guide coming

A UI/UX refactor is ongoing. Step-by-step instructions and screenshots for the new interface will be added here once it lands. To try fAIr now, visit ai.hotosm.org.

Prerequisites

  • Stable Internet connection
  • Knowledge on mapping . If you are new to mapping we suggest you to read this .
  • Very basic knowledge on training AI Datasets and Models.
  • Account on fAIr .

Help and Support

If you encounter any issues or need assistance while using fAIr, you can access the following resources: