Radiant ML Hub: A cloud based commons for geospatial training datasets

Alemohammad, Hamed

doi:10.6084/m9.figshare.9696446.v1

Hamed_ESIP_Summer_2019.pdf (21.23 MB)

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Radiant ML Hub: A cloud based commons for geospatial training datasets

presentation

posted on 2019-08-29, 12:02 authored by Hamed Alemohammad

A short presentation at the ESIP Summer Meeting 2019 in Tacoma Washington introducing Radiant MLHub as a public common for geospatial training datasets on the cloud.

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Remote Sensing Machine Learning Training Data ESIP Summer 2019 Earth Observations STAC Radiant MLHub MLHub Knowledge Representation and Machine Learning Photogrammetry and Remote Sensing Artificial Intelligence and Image Processing

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Radiant ML Hub: A cloud based commons for geospatial training datasets

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