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OlmoEarth v1.3 The Allen Institute for Artificial Intelligence (Ai2) has released OlmoEarth v1.3, an open geospatial model with annual global rings. Each pixel of Sentinel-1 radar data, as well as Sentinel-2 and Landsat multispectral images collected over a year, is compressed into a 128-dimensional vector. The first 64 dimensions act as an independent and more compact embedding. The spatial resolution of the data is 10 m. To work with embeddings, Ai2 released the OlmoEarth Embeddings Explorer, which runs in the browser and lets you explore and customize embedding maps. OlmoEarth v1.3 implementations on cooperative source methodology source.

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OlmoEarth v1.3 The Allen Institute for Artificial Intelligence (Ai2) has released OlmoEarth v1.3, an open geospatial model with annual global rings. Each pixel of Sentinel-1 radar data, as well as Sentinel-2 and Landsat multispectral images collected over a year, is compressed into a 128-dimensional vector. The first 64 dimensions act as an independent and more compact embedding. The spatial resolution of the data is 10 m. To work with embeddings, Ai2 released the OlmoEarth Embeddings Explorer, which runs in the browser and lets you explore and customize embedding maps. OlmoEarth v1.3 implementations on cooperative source methodology source.

OlmoEarth v1.3 The Allen Institute for Artificial Intelligence (Ai2) has released OlmoEarth v1.3, an open geospatial model with annual global rings. Each pixel of Sentinel-1 radar data, as well as Sentinel-2 and Landsat multispectral images collected over a year, is compressed into a 128-dimensional vector. The first 64 dimensions act as an independent and more compact embedding. The spatial resolution of the data is 10 m. To work with embeddings, Ai2 released the OlmoEarth Embeddings Explorer, which runs in the browser and lets you explore and customize embedding maps. OlmoEarth v1.3 implementations on cooperative source methodology source.

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