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Radiant MLHub

Provided by: Radiant Earth Foundation , part of the AWS Open Data Sponsorship Program

Radiant MLHub

Provided by: Radiant Earth Foundation , part of the AWS Open Data Sponsorship Program

This product is part of the AWS Open Data Sponsorship Program and contains data sets that are publicly available for anyone to access and use. No subscription is required. Unless specifically stated in the applicable data set documentation, data sets available through the AWS Open Data Sponsorship Program are not provided and maintained by AWS.

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.

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 .

Documentation

http://docs.mlhub.earth/ 

How to cite

Radiant MLHub was accessed on DATE from https://registry.opendata.aws/radiant-mlhub .

Update frequency
New training data catalogs are added on a rolling basis
Support information

Managed by: Radiant Earth Foundation 

Contact: support@radiant.earth

General AWS Data Exchange support
Contact Us 

Resources on AWS

Description

Radiant MLHub Training Data

Resource type
S3 Bucket
Amazon Resource Name (ARN)
arn:aws:s3:::radiant-mlhub
AWS Region
us-west-2

AWS CLI Access (No AWS account required)

aws s3 ls --no-sign-request s3://radiant-mlhub/

Usage examples

Tutorials
Publications
Tools & Applications

Links

View this dataset on Github 

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