File size: 1,686 Bytes
61744e5 1e89116 61744e5 1e89116 a68dc54 1e89116 80c29e2 1e89116 64c566a 1e89116 ea88b9a 1e89116 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 |
---
title: README
emoji: 🌍
colorFrom: blue
colorTo: green
sdk: static
pinned: false
---
# 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.
|