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title: README |
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# FAST-EO 🌍 Foundation Models for Earth Observation |
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FAST-EO is a European project funded by ESA, focused on developing open-source multimodal foundation models for Earth Observation. |
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Our models are designed to handle multispectral and mulitmodal data, enabling new capabilities in geospatial AI. |
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Find more information on our webiste: https://www.fast-eo.eu. |
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## 🧠 Featured Models |
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- **TerraMind**: A generative, any-to-any multimodal foundation model for EO, co-developed with ESA Φ-lab. |
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- **MS-CLIP**: A contrastive vision language model for multispectral EO data. |
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## 📚 Publications |
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- [TerraMind](https://arxiv.org/abs/2504.11171) – ICCV 2025 |
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- [MS-CLIP](https://arxiv.org/pdf/2503.15969) – ECML 2025 |
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- [TerraMesh dataset](https://arxiv.org/abs/2504.11172) – CVPR EarthVision 2025 |
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- [SmallMinesDS dataset](https://doi.org/10.1109/LGRS.2025.3566356) – IEEE Geoscience and Remote Sensing Letters |
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- [HyBiomass dataset](https://doi.org/10.1109/LGRS.2025.3610178) – IEEE Geoscience and Remote Sensing Letters |
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- [HYPERVIEW dataset](https://doi.org/10.1109/MGRS.2024.3394040) – IEEE Geoscience and Remote Sensing Magazine |
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[see all](https://www.fast-eo.eu/resources) |
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## 🤝 Partners |
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FAST-EO is funded by ESA and supported by a consortium of leading organizations: |
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- German Aerospace Center (DLR) |
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- ESA Φ-lab |
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- IBM Research |
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- Forschungszentrum Jülich |
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- KP Labs |
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## 🌐 Open Collaboration |
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We are committed to open science, transparent benchmarking, and community-driven innovation. |
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Explore our models, datasets, and tools — and help shape the future of geospatial AI. |
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