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| title: README | |
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| ## IBM and ESA 🌍 Advancing Geospatial AI with TerraMind & MS-CLIP | |
| IBM and the European Space Agency (ESA) Φ-lab introduce TerraMind, the first multimodal, any-to-any generative foundation model for Earth Observation. | |
| TerraMind reaches new SOTA results on downstream tasks and introduces the "Thinking-in-Modalities" approach to handle missing modalities. | |
| The model was pre-trained in partnership with Jülich Supercomputing Centre (Forschungszentrum Jülich) and supported by the FAST-EO project. | |
| ### 🎉 TerraMind has been accepted at ICCV 2025 | |
| We’re honored to present our work at one of the most prestigious conferences in computer vision. Stay tuned for more details! | |
| ### 🎉 MS-CLIP has been accepted at ECML 2025 | |
| We’re honored to present our work at one of the most prestigious conferences on machine learning. Stay tuned for more details! | |
| ### 🤝 Open Source | |
| The FAST-EO partners and ESA Φ-lab are committed to Open Source, sharing knowledge, and driving innovation for the geospatial domain. | |
| ### 📚 Papers and Resources | |
| Explore the technical paper detailing TerraMind's architecture and applications [here](https://arxiv.org/abs/2504.11171). Details on MS-CLIP can be found [here](https://arxiv.org/pdf/2503.15969). | |
| ### 📊 Upcoming Models and Datasets | |
| Stay tuned for our upcoming model and dataset releases like [TerraMesh](https://arxiv.org/abs/2504.11172). | |
| ### 🚀 Challenge | |
| Already working with TerraMind? Submit your use case to the [TerraMind Blue-Sky Challenge](https://huggingface.co/spaces/ibm-esa-geospatial/challenge), a bi-monthly award spotlighting the boldest, most imaginative ways using TerraMind. | |
| Explore our models, datasets, and papers, and join our discussions to shape the future of geospatial AI! | |