[Imports] [Talk-us] US Sports Fields Import
remillard.jason at gmail.com
Wed Jan 3 03:22:22 UTC 2018
Before I started this project in November I contacted the Bing
licensing group, described my intentions, and asked for a developer
key. They responded by giving me instructions on how to get a
I imagine they don't get many requests like this and it turns out they
didn't understand what I was asking them. Today I was contacted by
Microsoft with the news that they are not sure if the upstream
licenses they have with the satellite image vendors allows them to
grant OSM permission to do this kind of project.
The good news is that they indicated that they are going to try to
grant permission for this use case for OSM. The issue has been
escalated into the legal team at MS.
I am sure Microsoft will communicate with us when they decide what to
do, until then we have to wait.
On Tue, Jan 2, 2018 at 8:30 AM, Rory McCann <rory at technomancy.org> wrote:
> This is very interesting! And it's great to see some source code. I'd be
> tempted to try this myself on things I'm interested in.
> You mentioned that Microsoft has given permission for this, is that just
> for your one specific thing, or can any OSMer run this on their area?
> Can you post the documentation with the permission?
> Since you're importing the resultant file into OSM, this isn't really
> relevant, but you say "The two final output files are in the public
> domain.". Surely these output files are basically derived from existing
> OSM data, and would be under the ODbL?
> I haven't looked at your data, or tried to run the code myself, but I'd
> like to do it sometime.
> On 30/12/17 20:51, Jason Remillard wrote:
>> I have trained a neural network to find baseball, basketball, and
>> baseball fields in satellite images. It was trained using OSM and bing
>> tiles. Using the neural network I have mapped 2,800 new fields in the
>> US northeast, I would like to import the missing fields back into OSM.
>> Wiki project page :
>> Github: https://github.com/jremillard/images-to-osm
>> In November of 2017 all of the mapped baseball, basketball, and tennis
>> courts in Massachusetts, New York, Connecticut, Rhode Island, and
>> Pennsylvania were used to train a neural network.
>> The import data was created by
>> Running the neural network over the training Bing satellite images to
>> identify the missing sports fields from OSM. Fields found by the
>> network but not in OSM are passed to the next step.
>> A visual QA script shows the newly mapped features over the Bing
>> satellite images, the user approves or rejects the edits. I rejected
>> any way that wasn't an excellent match to the satellite images.
>> The final OSM files are created from the ways selected by myself in
>> the visual QA script.
>> The ways are tagged with leisure=pitch, plus the sport=* tag.
>> The changeset tags will be comment="Imported data, phase 1,
>> https://wiki.openstreetmap.org/wiki/US_Sports_Fields_Import_2018", and
>> source="Bing", import=yes
>> The jremillard-import account will be used to upload the 2 osm files.
>> The OSM files are already split to be under the 10,000 item limit on a
>> changeset. They will be uploaded with josm.
>> Prior to starting the project I emailed Microsoft bing licensing group
>> describing the project and received approval to use the Bing satellite
>> images for this purpose. Also, the QA script qualifies as a visual
>> editor in the existing OSM Bing license. The two final output files
>> are in the public domain.
>> Post Import Cleanup - Some imported ways may overlap with existing OSM
>> data. Specifically, any sport fields added since November, sports
>> fields that are tagged incorrectly, and sport fields that is a
>> relation might overlap with the uploaded data. After the files are
>> uploaded, all of the ways, and relations with the sport= tag will be
>> checked for overlaps and manually fixed. It is expected that just a
>> handful of issues will be found in the post cleanup.
>> Talk-us mailing list
>> Talk-us at openstreetmap.org
> Talk-us mailing list
> Talk-us at openstreetmap.org
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