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)

Download file

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.

History

Usage metrics

ESIP Summer 2019

Keywords

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

Licence

CC BY 4.0

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

History

Usage metrics

Categories

Keywords

Licence

Exports