[Talk-GB] Import proposal: Global ML Building Footprints for Nottinghamshire, UK

[Jez Nicholson]

My experience has been that the ML Building Footprints are _quite_ good,
but in almost every case require rotation, alignment, and adjustment. They
are also footprints, so need splitting for semis and terraces.

Some map providers, such as MapBox, now display a blended combo of OSM
buildings + ML Building Footprints to give full coverage.

IMO they are an excellent aid for manually adding detached houses, but,
with respect, I am strongly against importing them en masse. I don't think
I will be alone.

On Sun, 5 Feb 2023, 15:05 John Charlton, <coolmule0 at hotmail.co.uk> wrote:

> Hello,
>
> I am interested in using Microsoft's "Global ML Building Footprints
> <https://github.com/microsoft/GlobalMLBuildingFootprints>" for import. It
> is a huge dataset, but I am interested in importing parts locally.
> Specifically around Nottingham, UK.
>
> Where
> ---
> Nottinghamshire, UK. https://www.openstreetmap.org/relation/181040.
> <https://www.openstreetmap.org/relation/181040>
> Strictly within the bounds of this relation
> The import will target built up zones such as residential areas, villages,
> and larger settlements.
> It will not import any building that may overlap with one currently in the
> database, or that may duplicate anything currently within OSM.
>
> What
> ---
> Building footprints. I.e. building shapes in 2D.
> It will not contain any tag data other than buidling:yes
>
> Why
> ---
> There are various places within Nottinghamshire that are without
> buildings. I would like to use this dataset to quickly add missing
> buildings into OSM.
> I feel that it a more efficient use of my time to perform quality
> assurance on the imported data, rather than manually create the building
> footprints from aerial imagery myself.
>
> Accuracy
> ---
> It is a state-of-the-art machine learning database. This does not entail
> that the data should be entire trusted. I have visually examined cases
> around Nottingham to see how this dataset compares to both aerial imagery
> and current building in OSM. I feel that it is to a good quality, accurate,
> and does not have many false-positives within built up areas.
> I will manually check and go through every area imported to ensure that
> the import is sane, looks like it should match with both aerial imagery,
> and with the OSM database with regards to road layout, and any buildings
> that may already be in OSM.
>
> License
> ---
> It uses the Open Data Commons Open Database License (ODbL).
> <https://opendatacommons.org/licenses/odbl/> This is compatible with the
> OSM license. Microsoft have a section in the Readme
> <https://github.com/microsoft/GlobalMLBuildingFootprints#should-we-import-the-data-into-openstreetmap> about
> importing into OSM.
>
> The import process
> ---
> The dataset in available within JOSM with the RapiD plugin. It provides an
> easy way to copy & import data from the dataset into the OSM database.
> The import, if the proposal is accepted, will use a new user, whose
> purpose will be for this import project only. (username:
>  ms-glftp-nottinghamshire)
>
> My Questions
> ---
>
>    - Has the Global ML Building Footprints been imported in another
>    project? I have been unable to find any.
>    - Are there other mailing lists I should reach out on to talk to the
>    community about this?
>
>
> Closing Remarks
> ---
> I have not made an import before, but I am following the guidlines
> <https://wiki.openstreetmap.org/wiki/Import/Guidelines> closely. I
> appreciate I may make mistakes, and look forward to working with the
> community on this.
>
> Kind regards,
> John
> _______________________________________________
> Talk-GB mailing list
> Talk-GB at openstreetmap.org
> https://lists.openstreetmap.org/listinfo/talk-gb
>
-------------- next part --------------
An HTML attachment was scrubbed...
URL: <http://lists.openstreetmap.org/pipermail/talk-gb/attachments/20230205/c4d38c7f/attachment.htm>