[Osmf-talk] google Open Buildings usage request
Craig Allan
allan at iafrica.com
Fri Jul 30 21:59:52 UTC 2021
Dear List,
As an African mapper, working mainly in Chad, DRC and Kenya, I am
perpetually scared that some well-meaning AI professional in a far-off
wealthy country is going to proudly overwrite Africa with dirty data.
In that regard I note that this latest 'Open Buildings' building
recognition project seems to be good work, at the current level of AI
image recognition. That is very cool and the field of work is
fascinating. But the quality is not yet good enough for OSM purposes.
The authors of the paper are open about this and are working hard to
improve their accuracy.
One day, when AI image recognition consistently produces work that
cannot be distinguished from the work of an experienced human then we
should certainly look at using AI to classify features. Until then I
vote *NO!!!!* to any overwrite.
An African example of the worst case already happening is Cameroon,
where an AI enthusiast blanketed the country with bad vegetation
coverage data that nobody will ever bother to fix, because it looks
'done', whereas it is not. It is dirty data, which far worse than
blank. If the same thing had happened in Germany there would have been
a riot on this channel.
I also find that if you politely write to mass editors to request
correction, there is no recourse. The mass editor can't fix the errors
because that involves hand editing millions of points and ways and they
don't have the resources to do that. The alternatives are to dump the
whole import, which is impossible, or fix it yourself.
I would be quite happy with AI produced work being loaded up as a
digitising aid on another layer, like OpenTopo, and I expect that that
such limited use as reference-only material would probably be easier to
licence.
Craig Allan
osm: cRaIgalLAn
On 2021/07/30 09:31, Enock Seth Nyamador wrote:
> ...
> In Ghana alone, there is enough of very bad mappings from remote
> mapping in recent years that we wouldn't want to see more added.
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