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Allen Institute for AI releases OlmoEarth v1.3 satellite embedding model

Allen Institute for AI releases OlmoEarth v1.3, an open-source satellite embedding model for global land and coastal analysis.

Allen Institute for AI releases OlmoEarth v1.3 satellite embedding model — image from Hugging Face
Image: Hugging Face

Summary

Allen Institute for AI released OlmoEarth v1.3, an open-source satellite embedding model that compresses radar and multispectral satellite data into 64- and 128-dimensional vectors for every 10-meter pixel on Earth. Alongside the model, the team published precomputed annual global embeddings and launched a browser-based tool called the OlmoEarth Embeddings Explorer for mapping and analysis without sign-in or GPU access.

What changed

  • Released OlmoEarth v1.3 satellite embedding model with open weights, data, and code.
  • Shared precomputed annual embeddings for the entire planet at 10-meter resolution in 64- and 128-dimensions.
  • Launched the OlmoEarth Embeddings Explorer browser-based tool for analyzing maps and training classifiers without sign-in.

Availability

Available now

“Today, we’re releasing OlmoEarth v1.3, a state-of-the-art satellite embedding model.”

Founder takeaway

Small teams can use the OlmoEarth Embeddings Explorer and precomputed global embeddings to test land-cover classification and change-detection tasks locally without requiring GPUs or complex setup.

Source

Hugging FaceOlmoEarth v1.3: State-of-the-art embeddings for the whole planet

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