Having the complete data set for analysis would be a must, as all imports go through this to validate the quality of the data.
What I'm saying about the processing part: you feed it a bunch of drawing of dirt roads/paved roads. It will start to see what is similar and what is different (kind of like using KDIFF to analyse differences between texts, but a little bit more complex). It will see patterns i.e. the colour green is usually on both sides of this brown that is considered a road(over simplification) Neural Networks work much like our brains: look for patterns that we can recognize. How do you identify a road from imagery Christoph? Subconsciously there is a lot going on such as: width of feature, colour similairity, resemblance to past examples of what you determined as a road, is there a clear path/direction that this width is headed off into(long and slim?),etc etc Neural networks work in the same fashion: find patterns from what it has "learned" are roads. Bye. On Thu, Mar 16, 2017 at 7:36 AM, Christoph Hormann <[email protected]> wrote: > On Thursday 16 March 2017, James wrote: > > > > Seeing as facebooks computational power will rival that of super > > computers, even if you wanted to recreate it, it would probably take > > you 1000 years of home computing power to "train" the neural network > > to recognise roads, at which point we will all be dead. > > That is not how this works although i understand how PR of Facebook and > others makes people believe that. > > You can perfectly use neural networks and other 'artificial > intelligence' techniques on hardware accessible to normal people. The > difficulty with getting useful results with such techniques is not the > computing power required (this hardly ever is the case for anything > these days), it lies in adjusting such a system for the task at hand > and training it to produce useful results. In contrast to an > intelligent human who validates his/her conclusions with a large amount > of life experience an artificial intelligence will happily produce any > kind of nonsense if it is set up to do so - either voluntarily or > accidently because of lack of expertise in using these techniques. > > Which is exactly why we need to evaluate the results in full before an > import in OSM and not just a small sample area. > > This is also a kind of chicken-and-egg problem - people use 'artificial > intelligence' techniques because they don't want to bother with > analyzing and understanding the underlying mechanisms of a problem they > are trying to solve so they say "let's just have the AI figure it out". > However to really properly set up and train the AI they actually need a > thorough understanding of the underlying mechanisms. > > If Facebook does not want to open their methodology for whatever reason > that is perfectly fine but if they want to import their results in OSM > they need to either open their process or open the data as a whole for > us to evaluate before the import - as i already explained in my initial > reply. > > -- > Christoph Hormann > http://www.imagico.de/ > > _______________________________________________ > Imports mailing list > [email protected] > https://lists.openstreetmap.org/listinfo/imports > -- 外に遊びに行こう！
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