cog earth observation environmental geospatial labeled machine learning satellite imagery stac
Radiant MLHub is an open library for geospatial training data that hosts datasets generated by Radiant Earth Foundation's team as well as other training data catalogs contributed by Radiant Earth’s partners. Radiant MLHub is open to anyone to access, store, register and/or share their training datasets for high-quality Earth observations. All of the training datasets are stored using a SpatioTemporal Asset Catalog (STAC) compliant catalog and exposed through a common API. Training datasets include pairs of imagery and labels for different types of machine learning problems including image classification, object detection, and semantic segmentation. Labels are generated from ground reference data and/or image annotation.
New training data catalogs are added on a rolling basis
Access to Radiant MLHub data is free for everyone. Each dataset has its own license (usually CC-BY or CC-BY-SA). View Terms of Service.
See all datasets managed by Radiant Earth Foundation.
Radiant MLHub was accessed on DATE from https://registry.opendata.aws/radiant-mlhub.
arn:aws:s3:::radiant-mlhubus-west-2aws s3 ls --no-sign-request s3://radiant-mlhub/