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

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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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    ESIP Summer 2019

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    Remote SensingMachine LearningTraining DataESIP Summer 2019Earth ObservationsSTACRadiant MLHubMLHubKnowledge Representation and Machine LearningPhotogrammetry and Remote SensingArtificial Intelligence and Image Processing

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    CC BY 4.0

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