On Monday 17 September 2018, Nate Smith wrote: > > Read the full post here: > https://www.hotosm.org/updates/integrating-machine-learning-into-the- >tasking-manager/
That looks refreshingly different in focus looking more at data quality assurance and validation and less at automated data production. I look forward to seeing more practical results in that direction. One specific hint about this: For validation and QA purposes AI techniques are often inefficient and noisy/error-prone and traditional image analysis can sometimes be at least as valuable and reliable with less ressource requirements. Because in validation you have a priori facts/claims you want to validate, you need to answer questions like "is this building geometry accurate" and not the tasks AI techniques are typically advertised for like "find and trace all buildings in this area". There are of course also QA tasks where AI can be more useful for like the typical needle-in-a-haystack problems. -- Christoph Hormann http://www.imagico.de/ _______________________________________________ talk mailing list [email protected] https://lists.openstreetmap.org/listinfo/talk
