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Milestones

A summary of what fAIr is working toward and where each effort stands. It is meant for partners and contributors to follow progress. Figures are point-in-time and are dated where they change.

At a glance

Goal Target Status (October 2026)
Open geo-AI model library 20 models 4 features available (6 model variants), more in development and planned
Open Mapping Gurus (manual training datasets) 12 locations 4 complete, 6 ongoing, 2 planned
fAIrSwipe community projects (MapSwipe training datasets) 12 projects 23 underway

Open Mapping Gurus

63 unique Gurus have been deployed globally (9 September 2026).

Cumulative mapping output from Open Mapping Gurus to date:

Output Count
Buildings mapped 33,000
Tree points 5,876
Tree polygons 5,822
Seagrass polygons 18,549

Reach

Who has taken part in fAIr, as of 13 October 2026.

Model developers

3 organisations have added base models to the catalog: HOT, HeiGIT, and Mozilla AI. More are being developed through the Omdena and Zindi challenges and the community call; see Models.

Model creators

Measure Count
Users who published fine-tuned models 59
Fine-tuned models published 139
Users who created at least one model 149
Models created, published or not 341

Mappers and validators

Measure Count
Users who reviewed predictions in fAIr 249
Accept and reject labels given in fAIr (10,203 accepts) 20,411
MapSwipe contributors in fAIr validation projects, counted once per project 9,379
MapSwipe projects validating fAIr predictions 47
MapSwipe results in those projects 852,667

Together that is 9,628 reviewer engagements across fAIr and MapSwipe, each person counted once per project. The MapSwipe projects include validation runs for activations as well as the community projects.

Platform and data

Measure Count
Registered users 775
Activations supported 3
Hugging Face downloads of the training datasets 23,894
HDX downloads of datasets with fAIr outputs 1,893

Platform figures come from the fAIr API; MapSwipe counts come from MapSwipe's open data. Download counts are cumulative, as reported by Hugging Face and the Humanitarian Data Exchange.