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<div class="moz-cite-prefix">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.<br>
</div>
<div class="moz-cite-prefix"><br>
</div>
<div class="moz-cite-prefix">Here's an example location in
Nottinghamshire, Mansfield: <a moz-do-not-send="true"
href="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</a></div>
<div class="moz-cite-prefix"><br>
</div>
<div class="moz-cite-prefix">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. <br>
</div>
<div class="moz-cite-prefix"><br>
</div>
<div class="moz-cite-prefix">But it's a decent dataset and doing it
in RapiD also helps you notice other things to fix in the area.<br>
</div>
<div class="moz-cite-prefix"><br>
</div>
<div class="moz-cite-prefix">On 05/02/2023 15:03, John Charlton
wrote:<br>
</div>
<blockquote type="cite"
cite="mid:PR3P191MB12165EB3168E1608680F77EBBCD59@PR3P191MB1216.EURP191.PROD.OUTLOOK.COM">
<meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
<div>Hello,</div>
<br>
<div>I am interested in using Microsoft's "<a
href="https://github.com/microsoft/GlobalMLBuildingFootprints"
title="https://github.com/microsoft/GlobalMLBuildingFootprints"
moz-do-not-send="true">Global ML Building Footprints</a>" for
import. It is a huge dataset, but I am interested in importing
parts locally. Specifically around Nottingham, UK. </div>
<br>
<div>Where</div>
<div>---</div>
<div>Nottinghamshire, UK. <a
href="https://www.openstreetmap.org/relation/181040"
title="https://www.openstreetmap.org/relation/181040"
moz-do-not-send="true">https://www.openstreetmap.org/relation/181040.</a> </div>
<div>Strictly within the bounds of this relation<br>
The import will target built up zones such as residential areas,
villages, and larger settlements.</div>
<div>It will not import any building that may overlap with one
currently in the database, or that may duplicate anything
currently within OSM.</div>
<br>
<div>What</div>
<div>---</div>
<div>Building footprints. I.e. building shapes in 2D. </div>
<div>It will not contain any tag data other than <code>buidling:yes</code> </div>
<br>
<div>Why</div>
<div>---</div>
<div>There are various places within Nottinghamshire that are
without buildings. I would like to use this dataset to quickly
add missing buildings into OSM. </div>
<div>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.</div>
<br>
<div>Accuracy</div>
<div>---</div>
<div>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.</div>
<div>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.</div>
<br>
<div>License</div>
<div>---</div>
<div>It uses the <a
href="https://opendatacommons.org/licenses/odbl/"
title="https://opendatacommons.org/licenses/odbl/"
moz-do-not-send="true">Open Data Commons Open Database License
(ODbL).</a> This is compatible with the OSM license. Microsoft
have a section in the <a
href="https://github.com/microsoft/GlobalMLBuildingFootprints#should-we-import-the-data-into-openstreetmap"
title="https://github.com/microsoft/GlobalMLBuildingFootprints#should-we-import-the-data-into-openstreetmap"
moz-do-not-send="true">Readme</a> about importing into OSM.</div>
<br>
<div>The import process</div>
<div>---</div>
<div>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.</div>
<div>The import, if the proposal is accepted, will use a new user,
whose purpose will be for this import project only. (username<span
data-emoji-typing="true">:</span> ms-glftp-nottinghamshire)</div>
<br>
<div>My Questions</div>
<div>---</div>
<ul>
<li>
<div>Has the Global ML Building Footprints been imported in
another project? I have been unable to find any.</div>
</li>
<li>
<div>Are there other mailing lists I should reach out on to
talk to the community about this?</div>
</li>
</ul>
<br>
<div>Closing Remarks</div>
<div>---</div>
<div>I have not made an import before, but I am following the <a
href="https://wiki.openstreetmap.org/wiki/Import/Guidelines"
title="https://wiki.openstreetmap.org/wiki/Import/Guidelines"
moz-do-not-send="true">guidlines</a> closely. I appreciate I
may make mistakes, and look forward to working with the
community on this.</div>
<br>
<div>Kind regards,</div>
<div>John</div>
<br>
<fieldset class="moz-mime-attachment-header"></fieldset>
<pre class="moz-quote-pre" wrap="">_______________________________________________
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<a class="moz-txt-link-freetext" href="https://lists.openstreetmap.org/listinfo/talk-gb">https://lists.openstreetmap.org/listinfo/talk-gb</a>
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