Open Library. High-quality Training Data.

Machine Learning for Earth Observation

Radiant MLHub

Radiant MLHub is the world’s first cloud-based open library dedicated to Earth observation training data for use with machine learning algorithms. Designed to encourage widespread data collaboration, Radiant MLHub allows anyone to access, store, register, and share open geospatial machine learning training datasets.

Radiant MLHub

Open Data, Tools and Models

Machine Learning Commons

An open library of training data, models, and standards for applications of Machine Learning on Earth observation allowing researchers to build better and efficient models.

Radiant MLHub Tutorials

Explore this introductory guide to accessing open Earth observation training data for machine learning. A Jupyter Notebook with sample codes to use Radiant MLHub API is also available.

Radiant MLHub {Tutorials}

Join the Conversation

Connect with the Radiant MLHub community on Slack to share ideas, talk all things Earth observations and machine learning, looking for new training data or models, or are interested in collaborating with us to develop new ones.