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Machine Learning Project Data Access and Tools

As part of the Machine Learning Project, NASA's Interagency Implementation and Advanced Concepts Team (IMPACT) developed tools to help Earth scientists integrate machine learning into their workflow.

Machine Learning Project Data Tools

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Hurricane Intensity Estimator NASA's Hurricane Intensity Estimator is an online platform that demonstrates the use of a machine learning model for estimating the wind speed of hurricanes.
ImageLabeler ImageLabeler is an open source, web-based tool that allows users to create tagged images for use in training image-based machine learning models for Earth science phenomena.
Phenomena Detection Portal The Phenomena Detection Portal uses machine learning for real-time detection of Earth science phenomena.
pyQuARC NASA's pyQuARC tool assesses the quality, consistency, and robustness of Earth observation metadata.
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Machine Learning Project Datasets

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