OlmoEarth v1 2 Small
OlmoEarth-v12-Small is a ViT-Small (36M parameters) foundation model for remote sensing tasks over Sentinel-1, Sentinel-2, and Landsat images or image time series, presented in OlmoEarth v1.2: A more efficient family...
Fonte do modelo
- Tipo
- Other
- Tamanho do arquivo
- 300 MB
- Versão
- vRevision 5dd8947
- Atualizado
- 10 de out. de 2026
- Downloads
- 4,8 mil
- Fonte
- Hugging Face
Descrição da fonte
OlmoEarth-v1_2-Small is a ViT-Small (36M parameters) foundation model for remote sensing tasks over Sentinel-1, Sentinel-2, and Landsat images or image time series, presented in OlmoEarth v1.2: A more efficient family of OlmoEarth models.
Please see our GitHub and paper for more information about OlmoEarth.
- GitHub: https://github.com/allenai/olmoearth_pretrain
- Paper: https://allenai.org/papers/olmoearth_v1_2
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
- Computing OlmoEarth Embeddings
- Fine-tuning OlmoEarth using rslearn
The OlmoEarth model is deployed in the OlmoEarth Platform, 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.
This model is licensed under the OlmoEarth Artifact License. It is intended for use in accordance with Ai2's Responsible Use Guidelines.
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1 fonteVerificado 10 de out.
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Artefatos de modelo
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Trechos de fonte
3 trechos--- license: other pipeline_tag: image-feature-extraction --- OlmoEarth-v1_2-Small is a ViT-Small (36M parameters) foundation model for remote sensing tasks over Sentinel-1, Sentinel-2, and Landsat images or image time series, presented in [OlmoEarth v1.2: A more efficient family of OlmoEarth models](https://huggingface.co/papers/2605.20804). Please see our GitHub and paper for more information about OlmoEarth. - GitHub: https://github.com/allenai/olmoearth_pretrain - Paper: https://allenai.org/papers/olmoearth_v1_2 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).
Source context: 4806 downloads · 5 likes · Pipeline image-feature-extraction · Repo allenai/OlmoEarth-v1_2-Small
Source context: 1319 downloads · 2 likes · Pipeline image-feature-extraction · Repo allenai/OlmoEarth-v1_2-Small
