Introducing OlmoEarth embeddings: Custom embedding exports from OlmoEarth Studio for downstream analysis
Allen Institute (AI2)
OlmoEarth Studio now allows users to compute and export embedding vectors from their open-source Earth observation foundation models for downstream analysis tasks. The platform supports three encoder variants ranging from Nano (1.4M parameters) to Base (89M parameters), with exports as Cloud-Optimized GeoTIFFs that can be customized by area, time range, resolution, and imagery source. Users can apply these embeddings to similarity search, few-shot segmentation, change detection, and unsupervised exploration with minimal labeled data, such as producing land-cover maps from just 60 labeled pixels.
Why it matters
OlmoEarth Studio now lets users export custom Earth-observation embeddings from our OlmoEarth foundation models and use them for tasks like similarity search, few-shot mapping, change detection, and unsupervised exploration.
