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Radiant MLHub Dataset for Machine Learning

Install DagsHub:

pip install dagshub
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To stream this data directly on DagsHub

from dagshub.streaming import DagsHubFilesystem

fs = DagsHubFilesystem(".", repo_url="https://dagshub.com/DagsHub-Datasets/radiant-mlhub-dataset")

fs.listdir("s3://radiant-mlhub")
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Description

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.

Additional information

Documentation

Update frequency

New training data catalogs are added on a rolling basis

License

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.

Related datasets

BodyM Dataset

Cloud to Street – Microsoft Flood and Clouds Dataset

A2D2: Audi Autonomous Driving Dataset

Galaxy Evolution Explorer Satellite (GALEX)

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