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

[Michael Booth]

These buildings are already available in the RapiD editor (a fork of 
iD), though annoyingly you can only add up to 50 objects between saves.

Here's an example location in Nottinghamshire, Mansfield: 
https://mapwith.ai/rapid#background=Bing&datasets=fbRoads,msBuildings&disable_features=boundaries&map=18.20/53.12678/-1.18463&offset=-0.69,-1.08&overlays=OSMUK-Cadastral-Parcels 
<https://mapwith.ai/rapid#background=Bing&datasets=fbRoads,msBuildings&disable_features=boundaries&map=18.20/53.12678/-1.18463&offset=-0.69,-1.08&overlays=OSMUK-Cadastral-Parcels>

I wouldn't recommend an import as some buildings need realigned or 
rotated - if you're lucky then they are all consistently wrong and you 
can then shift + click to select them, then move or rotate in bulk. Plus 
a lot of them are garages rather than houses and should be tagged as such.

But it's a decent dataset and doing it in RapiD also helps you notice 
other things to fix in the area.

On 05/02/2023 15:03, John Charlton 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
>
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> Talk-GB at openstreetmap.org
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