We provide here the embeddings for the 1M chips used to train Clay Model v0. See documentation for details: https://clay-foundation.github.io/model/specification.html
Clay is a foundational model of Earth. It uses a Vision Transformer architecture adapted to understand geospatial and temporal relations on Earth Observation data. The model is trained via Self-supervised learning (SSL) using a Masked Autoencoder (MAE) method.
The Clay model can be used in three main ways:
CLAY is a fiscal sponsored project of the 501c3 non-profit Radiant Earth Foundation.