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OlmoEarth-v1-Large is a ViT-Large (308M parameters) foundation model for remote sensing tasks over Sentinel-1, Sentinel-2, and Landsat images or image time series.

Please see our GitHub and paper for more information about OlmoEarth.

- GitHub: https://github.com/allenai/olmoearth_pretrain
- Paper: https://allenai.org/papers/olmoearth

If you are interested in computing embeddings with OlmoEarth, or fine-tuning OlmoEarth for a downstream task, see our tutorials:

- [Fine-tuning OlmoEarth for Segmentation using olmoearth_run](https://github.com/allenai/olmoearth_projects/blob/main/docs/tutorials/FinetuneOlmoEarthSegmentation.md)
- [Computing OlmoEarth Embeddings](https://github.com/allenai/rslearn/blob/master/docs/examples/OlmoEarthEmbeddings.md)
- [Fine-tuning OlmoEarth using rslearn](https://github.com/allenai/rslearn/blob/master/docs/examples/FinetuneOlmoEarth.md)

The OlmoEarth model is deployed in [the OlmoEarth Platform](https://olmoearth.allenai.org/), a solution that enables any organization to leverage our models and accelerate their mission, without requiring deep AI or engineering expertise.
[Sign up to get updates and partner access.](https://3ioxm.share.hsforms.com/23TW_rZwBSfauI1R3t0tdTQ)

This model is licensed under the [OlmoEarth Artifact License](LICENSE.txt).
It is intended for use in accordance with Ai2's
[Responsible Use Guidelines](https://allenai.org/responsible-use).