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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...

ArtOtherVersionRevision 5dd8947BBewertung

Modellquelle

Art
Other
Dateigröße
300 MB
Version
vRevision 5dd8947
Aktualisiert
10. Okt. 2026
Downloads
4806
Quelle
Hugging Face

Quellenbeschreibung

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.

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

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.

Quellen

1 Quelle
Hugging FacePrimärVersion 5dd894799741b60f59dc4b1dbbb758d8afd89062
huggingface.co/allenai/OlmoEarth-v1_2-Small/tree/5dd894799741b60f59dc4b1dbbb758d8afd89062

Verifiziert 10. Okt.

Modellartefakte

1 Artefakt

weights.pth

pth · 300 MB · SHA-256 459796ed5680…5fa6 · Hugging Face

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Quellenauszüge

3 Auszüge

--- 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