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# FAST-EO 🌍 Foundation Models for Earth Observation

FAST-EO is a European project funded by ESA, focused on developing open-source multimodal foundation models for Earth Observation. 
Our models are designed to handle multispectral and mulitmodal data, enabling new capabilities in geospatial AI.
Find more information on our webiste: https://www.fast-eo.eu.

## 🧠 Featured Models
- **TerraMind**: A generative, any-to-any multimodal foundation model for EO, co-developed with ESA Φ-lab.
- **MS-CLIP**: A contrastive vision language model for multispectral EO data.

## 📚 Publications
- [TerraMind](https://arxiv.org/abs/2504.11171) – ICCV 2025
- [MS-CLIP](https://arxiv.org/pdf/2503.15969) – ECML 2025
- [TerraMesh dataset](https://arxiv.org/abs/2504.11172) – CVPR EarthVision 2025
- [SmallMinesDS dataset](https://doi.org/10.1109/LGRS.2025.3566356) – IEEE Geoscience and Remote Sensing Letters
- [HyBiomass dataset](https://doi.org/10.1109/LGRS.2025.3610178) – IEEE Geoscience and Remote Sensing Letters
- [HYPERVIEW dataset](https://doi.org/10.1109/MGRS.2024.3394040) – IEEE Geoscience and Remote Sensing Magazine

[see all](https://www.fast-eo.eu/resources)

## 🤝 Partners
FAST-EO is funded by ESA and supported by a consortium of leading organizations:
- German Aerospace Center (DLR)
- ESA Φ-lab
- IBM Research
- Forschungszentrum Jülich
- KP Labs

## 🌐 Open Collaboration
We are committed to open science, transparent benchmarking, and community-driven innovation. 
Explore our models, datasets, and tools — and help shape the future of geospatial AI.