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Show HN: Mask R-CNN Neural Network for Mapping Sport Fields in OpenStreetMap

francisofascii 9y ago
This is impressive. I wonder if a similar technique could be used to identify parking lots. The U.S. seems to have an over abundance of parking lots, so it would be cool to back up that perception with real data.
- toomuchtodo 9y ago
  https://github.com/trailbehind/DeepOSM https://github.com/trailbehind/DeepOSM https://news.ycombinator.com/item?id=11808639 https://news.ycombinator.com/item?id=11808639
  - maxerickson 9y ago
    I think the Mask R-CNN used in the linked project is a better fit to parking lots (areas) than DeepOSM, which is aimed at finding road centerlines.
    - deleted 9y ago
      [deleted]
- jasonremillard 9y ago
  Thanks! It would probably work well for parking lots, but there are a horrifying number of them. I don’t think the OSM community would tolerate such a large import.
  - rmc 9y ago
    You don't have to do an import, you could just have a MapRoulette challenge. Or some sort of JOSM todo plugin, so people could whiz from one to the next
riordan 9y ago
This is awesome and exactly the kind of thing that can give the OSM Armchair Mappers some very accurate superpowers. It'd be great to see this fed into the OSM Tasking Manager [1] or Maproulette[2] for folks to validate (and then build even stronger training data). [1]: http://tasks.openstreetmap.us/ http://tasks.openstreetmap.us/ [2]: http://maproulette.org/ http://maproulette.org/
- maxerickson 9y ago
  If I understand correctly the creator has already validated the output for much of the Northeast. (They've proposed an import: https://lists.openstreetmap.org/pipermail/imports/2017-December/005319.html https://lists.openstreetmap.org/pipermail/imports/2017-Decem... )
edshiro 9y ago
Very interesting! I recently finished reading the paper on Mask R-CNN and find it's a very neat addition to the R-CNN family. What are some of the issues that you encountered with the implementation of Mask R-CNN or the training phase for example?
Mediterraneo10 9y ago
I mapped quite a bit of Morocco while traveling through there recently. Interestingly, I find that a lot of sports fields in villages are for both football and basketball, but the basketball structures aren't visible from aerial imagery. Rather you will know they are there only if you actually see the pitch with your own eyes. So, while automatically identifying leisure=pitch might be possible with neural networks, the tagging still needs a human being to visit the site in order to be complete.
- jasonremillard 9y ago
  This is just for the US North East. Football and basketballs fields are never shared because basketball fields are always paved.

This is impressive. I wonder if a similar technique could be used to identify parking lots. The U.S. seems to have an over abundance of parking lots, so it would be cool to back up that perception with real data.

toomuchtodo 9y ago
https://github.com/trailbehind/DeepOSM https://github.com/trailbehind/DeepOSM https://news.ycombinator.com/item?id=11808639 https://news.ycombinator.com/item?id=11808639
- maxerickson 9y ago
  I think the Mask R-CNN used in the linked project is a better fit to parking lots (areas) than DeepOSM, which is aimed at finding road centerlines.
  - deleted 9y ago
    [deleted]
jasonremillard 9y ago
Thanks! It would probably work well for parking lots, but there are a horrifying number of them. I don’t think the OSM community would tolerate such a large import.
- rmc 9y ago
  You don't have to do an import, you could just have a MapRoulette challenge. Or some sort of JOSM todo plugin, so people could whiz from one to the next

riordan 9y ago

This is awesome and exactly the kind of thing that can give the OSM Armchair Mappers some very accurate superpowers. It'd be great to see this fed into the OSM Tasking Manager [1] or Maproulette[2] for folks to validate (and then build even stronger training data). [1]: http://tasks.openstreetmap.us/ http://tasks.openstreetmap.us/ [2]: http://maproulette.org/ http://maproulette.org/

maxerickson 9y ago
If I understand correctly the creator has already validated the output for much of the Northeast. (They've proposed an import: https://lists.openstreetmap.org/pipermail/imports/2017-December/005319.html https://lists.openstreetmap.org/pipermail/imports/2017-Decem... )

edshiro 9y ago

Very interesting! I recently finished reading the paper on Mask R-CNN and find it's a very neat addition to the R-CNN family. What are some of the issues that you encountered with the implementation of Mask R-CNN or the training phase for example?

Mediterraneo10 9y ago

I mapped quite a bit of Morocco while traveling through there recently. Interestingly, I find that a lot of sports fields in villages are for both football and basketball, but the basketball structures aren't visible from aerial imagery. Rather you will know they are there only if you actually see the pitch with your own eyes. So, while automatically identifying leisure=pitch might be possible with neural networks, the tagging still needs a human being to visit the site in order to be complete.

jasonremillard 9y ago
This is just for the US North East. Football and basketballs fields are never shared because basketball fields are always paved.