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UID:pretalx-foss4g-2022-RK9QUW@talks.staging.osgeo.org
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DESCRIPTION:OTBTF is a remote module of the Orfeo ToolBox enabling deep lea
 rning with remote sensing images.\nCreated in 2018\, it aimed to provide a
  generic framework for various kind of raster-oriented deep-learning based
  applications.\nOriginally\, OTBTF included user-oriented applications for
  patches sampling\, model training\, and inference on real world remote se
 nsing images\, and a few python scripts to help users with no coding skill
 s to generate some ready-to-use models.\nA few years later\, it has been u
 sed for a wide range of applications\, like landcover mapping at country s
 cale\, super-resolution\, optical image cloud removal\, etc.\nThis talk wi
 ll present a few selected IA based applications powered by OTBTF in the fr
 amework of research projects\, public policies support\, or teaching.\nWe 
 will present the recent features added in OTBTF and we are very happy to i
 ntroduce what is next!\nMore details on the project on the github reposito
 ry: github.com/remicres/otbtf
DTSTAMP:20260404T000344Z
LOCATION:Room Verde
SUMMARY:Status of OTBTF\, the Orfeo ToolBox extension for deep learning - r
 emi.cresson@inrae.fr
URL:https://talks.staging.osgeo.org/foss4g-2022/talk/RK9QUW/
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