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As to humanitarian use for OSM and how anyone can contribute by small tasks (I've tried it myself, was surprisingly exciting), enabling faster and more accurate

by akavel 8y ago

As to humanitarian use for OSM and how anyone can contribute by small tasks (I've tried it myself, was surprisingly exciting), enabling faster and more accurate response and travel to people in need, see: https://wiki.openstreetmap.org/wiki/Humanitarian_OSM_Team https://wiki.openstreetmap.org/wiki/Humanitarian_OSM_Team https://wiki.openstreetmap.org/wiki/OSM_Tasking_Manager https://wiki.openstreetmap.org/wiki/OSM_Tasking_Manager As to work in progress on detection of features and automatic conversion to maps, I've recently found the below website: https://blog.mapillary.com/update/2016/07/15/mapillary-osm.html https://blog.mapillary.com/update/2016/07/15/mapillary-osm.h...

maxerickson 8y ago
Facebook and Microsoft have both undertaken large scale ML projects contributing data to OSM. Facebook has a pilot in Thailand: https://forum.osm.org/viewtopic.php?id=61826 https://forum.osm.org/viewtopic.php?id=61826 and Microsoft released 124 million buildings for contribution to OSM: https://blogs.bing.com/maps/2018-06/microsoft-releases-125-million-building-footprints-in-the-us-as-open-data https://blogs.bing.com/maps/2018-06/microsoft-releases-125-m... There's also been some work by individuals: https://github.com/jremillard/images-to-osm https://github.com/jremillard/images-to-osm A key to the satellite imagery projects is that the imagery be suitably licensed.
- linsomniac 8y ago
  We recently overlaid the Microsoft buildings over Boulder Colorado aerial maps and in some places they were pretty good. In others, where there was just the right amount of tree cover, it was pretty bad. Houses cut up into 2 or 3 or 4 chunks, for example. It's a great data set, but it'll probably need some curation.
  - maxerickson 8y ago
    For sure, it will need curation. But even if it were just information about where buildings probably existed it would be hugely useful. An example use case is improving building coverage in a rural area.
    - linsomniac 8y ago
      Sure! I wonder if the ML system could make use of information such as lot size and shape (from the county), building sqft, number of levels, information about outbuildings (from the MLS or property tax), and could get smarter. And if it can tell a tree from grass. "This small lot has 3 200sqft buildings separated by a tree on it, but is supposed to have a 1200sqft ranch house... Maybe those 3 buildings define the bounding box of the house?"
  - jimmyrocks 8y ago
    There is also a good buildings dataset from DRCOG that we're (OSM Colorado) importing into OSM. Reach out to us, or come to our next meetup if you're interested.
  - rmc 8y ago
    > It's a great data set, but it'll probably need some curation. Some sort of crowd sourced, geo database... ;)

by akavel 8y ago

maxerickson 8y ago

Facebook and Microsoft have both undertaken large scale ML projects contributing data to OSM. Facebook has a pilot in Thailand: https://forum.osm.org/viewtopic.php?id=61826 https://forum.osm.org/viewtopic.php?id=61826 and Microsoft released 124 million buildings for contribution to OSM: https://blogs.bing.com/maps/2018-06/microsoft-releases-125-million-building-footprints-in-the-us-as-open-data https://blogs.bing.com/maps/2018-06/microsoft-releases-125-m... There's also been some work by individuals: https://github.com/jremillard/images-to-osm https://github.com/jremillard/images-to-osm A key to the satellite imagery projects is that the imagery be suitably licensed.

linsomniac 8y ago
We recently overlaid the Microsoft buildings over Boulder Colorado aerial maps and in some places they were pretty good. In others, where there was just the right amount of tree cover, it was pretty bad. Houses cut up into 2 or 3 or 4 chunks, for example. It's a great data set, but it'll probably need some curation.
- maxerickson 8y ago
  For sure, it will need curation. But even if it were just information about where buildings probably existed it would be hugely useful. An example use case is improving building coverage in a rural area.
  - linsomniac 8y ago
    Sure! I wonder if the ML system could make use of information such as lot size and shape (from the county), building sqft, number of levels, information about outbuildings (from the MLS or property tax), and could get smarter. And if it can tell a tree from grass. "This small lot has 3 200sqft buildings separated by a tree on it, but is supposed to have a 1200sqft ranch house... Maybe those 3 buildings define the bounding box of the house?"
- jimmyrocks 8y ago
  There is also a good buildings dataset from DRCOG that we're (OSM Colorado) importing into OSM. Reach out to us, or come to our next meetup if you're interested.
- rmc 8y ago
  > It's a great data set, but it'll probably need some curation. Some sort of crowd sourced, geo database... ;)