Roadmap¶

Where fAIr came from, what has shipped, and what is being worked on. For the bigger picture and how fAIr is positioned, see Vision.

Timeline¶

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timeline
    2023-2025 : Shipped the v2 platform, training, offline prediction and fAIrSwipe
    2026 : UI/UX refactor and mapper view : Larger-area predictions : Model feedback and local versions
    2027 : Street-level imagery : In-browser predictions : Infrastructure scale-up

Current figures for each effort are tracked on the Milestones page.

Now and later¶

Planned for 2026, targeted for the end of the year.

Now
- A UI/UX refactor is underway
- Mapper view: pick any model, apply it to any imagery, and see the results
- Prediction requests over larger areas
- Targeted for the end of September 2026
Later
- Feedback on model results
- Improving a model with more training data to create a local version
- Rating a model
- Targeted for the end of 2026

Exploring next year¶

Options under exploration for 2027.

Street-level imagery
Scaling up the infrastructure and stabilizing the server
Simplifying the user base
In-browser predictions
Public STAC endpoints released with the training datasets

This roadmap is a living summary

It is maintained in Markdown so it is quick to update. Item order and grouping are indicative. The live board is at hotosm/projects/40.

Shipped¶

Capabilities already released, with the release series in which each landed.

Capability	Release
Adopting the YOLOv8 model	v2.0.1+
Redesigned interface	v2.0.10+
User profiles and activity	v2.1.0
Notifications on training status	v2.1.3
Replicable models (run a model on new imagery or a new area)	v2.2.0
Offline AI prediction	v2.2.3
Post-processing of predicted geometry	v2.2.4
fAIrSwipe (validate predictions via MapSwipe)	v2.2.15

The current release series is v2.2.x.