Datasets¶
fAIr's models are trained on open datasets, and validated predictions are published as open data. This page explains how training data is created and lists the datasets HOT publishes on Hugging Face and the Humanitarian Data Exchange.
Most datasets combine imagery under CC-BY-4.0 with labels derived from OpenStreetMap under the ODbL (the Open Database License).
How training data is created¶
Training labels come from mapping in the Tasking Manager and from MapSwipe, and community mappers in the Open Mapping Gurus program create datasets that are released openly. The programs and their field projects are tracked on the Field projects page.
Training datasets¶
Datasets used to train and evaluate geo-AI models, hosted on Hugging Face. Download counts are cumulative, as reported by Hugging Face on 9 September 2026.
| Dataset | Feature | Task | License | Downloads |
|---|---|---|---|---|
| hot-building-segmentation | Buildings | Image segmentation | CC-BY-4.0, ODbL | 18,699 |
| vhr-building-segmentation | Buildings | Image segmentation | CC-BY-4.0, ODbL | 3,208 |
| streetlevel-poles | Poles and towers | Object detection | CC-BY-SA-4.0 | 326 |
| vhr-highway-segmentation | Highways | Image segmentation | CC-BY-4.0, ODbL | 76 |
| fAIr-guru-td-highways | Highways | Image segmentation | CC-BY-4.0, ODbL | 66 |
| fAIr-guru-td-buildings | Buildings | Image segmentation | CC-BY-4.0, ODbL | 63 |
The fAIr-guru-* datasets come from the Open Mapping Gurus program. The streetlevel-poles dataset is an early experiment with street-level imagery. Download counts reflect programmatic downloads reported by Hugging Face and change over time.
Prediction and crisis outputs¶
Validated predictions and crisis-response data produced with fAIr, published as open datasets.
On the Humanitarian Data Exchange:
| Dataset | Description | Source |
|---|---|---|
| Nepal Flood 2026: fAIr Damage Assessment | Building damage assessment for the Upper Trishuli and Bhote Koshi flood, produced with fAIr | HDX |
| Venezuela Earthquake 2026: fAIr Damage Assessment | MapSwipe-validated building damage assessment for the June 2026 earthquake, produced with fAIr | HDX |
On Hugging Face (cumulative downloads as of 9 September 2026):
| Dataset | Description | License | Downloads |
|---|---|---|---|
| venezuela_eq_2026 | Venezuela M 7.5 earthquake, June 2026 | Not specified | 6,461 |
| colombia_eq_2026 | Colombia earthquake, August 2026 | Not specified | 1,658 |
| nepal_flood_2026 | Nepal Flood 2026 (Upper Trishuli and Bhote Koshi) | CC-BY-4.0 | 82 |
More on HDX
Additional fAIr crisis-response outputs are published on the Humanitarian Data Exchange as responses are run.