blumenstiel commited on
Commit
1e89116
Β·
verified Β·
1 Parent(s): 64c566a

Update README.md

Browse files
Files changed (1) hide show
  1. README.md +31 -7
README.md CHANGED
@@ -1,16 +1,40 @@
1
  ---
2
  title: README
3
- emoji: πŸ“ˆ
4
- colorFrom: pink
5
- colorTo: yellow
6
  sdk: static
7
  pinned: false
8
  ---
9
 
10
- How to use the TerraMind models: https://huggingface.co/FAST-EO/TerraMind_Finetuning
11
 
12
- ––– Work in Progress –––
 
 
13
 
14
- Website: https://www.fast-eo.eu
 
 
15
 
16
- Paper: see https://huggingface.co/FAST-EO/TerraMind-1.0-base ReadMe.
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
  ---
2
  title: README
3
+ emoji: 🌍
4
+ colorFrom: blue
5
+ colorTo: green
6
  sdk: static
7
  pinned: false
8
  ---
9
 
10
+ # FAST-EO 🌍 Foundation Models for Earth Observation
11
 
12
+ FAST-EO is a European project funded by ESA, focused on developing open-source multimodal foundation models for Earth Observation.
13
+ Our models are designed to handle multispectral and mulitmodal data, enabling new capabilities in geospatial AI.
14
+ Find more information on our webiste: https://www.fast-eo.eu.
15
 
16
+ ## 🧠 Featured Models
17
+ - **TerraMind**: A generative, any-to-any multimodal foundation model for EO, co-developed with ESA Ξ¦-lab.
18
+ - **MS-CLIP**: A contrastive vision language model for multispectral EO data.
19
 
20
+ ## πŸ“š Publications
21
+ - [TerraMind](https://arxiv.org/abs/2504.11171) – ICCV 2025
22
+ - [MS-CLIP](https://arxiv.org/pdf/2503.15969) – ECML 2025
23
+ - [TerraMesh dataset](https://arxiv.org/abs/2504.11172) – CVPR EarthVision 2025
24
+ - [SmallMinesDS dataset](https://doi.org/10.1109/LGRS.2025.3566356) – IEEE Geoscience and Remote Sensing Letters
25
+ - [HyBiomass dataset](https://doi.org/10.1109/LGRS.2025.3610178) – IEEE Geoscience and Remote Sensing Letters
26
+ - [HYPERVIEW dataset](https://doi.org/10.1109/MGRS.2024.3394040) – IEEE Geoscience and Remote Sensing Magazine
27
+
28
+ [see all](https://www.fast-eo.eu/resources)
29
+
30
+ ## 🀝 Partners
31
+ FAST-EO is funded by ESA and supported by a consortium of leading organizations:
32
+ - German Aerospace Center (DLR)
33
+ - ESA Ξ¦-lab
34
+ - IBM Research
35
+ - Forschungszentrum JΓΌlich
36
+ - KP Laps
37
+
38
+ ## 🌐 Open Collaboration
39
+ We are committed to open science, transparent benchmarking, and community-driven innovation.
40
+ Explore our models, datasets, and tools β€” and help shape the future of geospatial AI.