<html>
<head>
<meta http-equiv="Content-Type" content="text/html; charset=Windows-1252">
<style type="text/css" style="display:none;"> P {margin-top:0;margin-bottom:0;} </style>
</head>
<body dir="ltr">
<div style="font-family: Calibri, Helvetica, sans-serif; font-size: 12pt; color: rgb(0, 0, 0); background-color: rgb(255, 255, 255);" class="elementToProof">
<p class="MsoNormal ContentPasted0 elementToProof" style="margin:0cm;font-size:11pt;font-family:"Calibri", sans-serif">
A potential advantage of importing building outlines where there’s already a community is that they can be checked on the ground. That only works if the locals are interested in doing that of course.<o:p class="ContentPasted0"> </o:p></p>
</div>
<div style="font-family: Calibri, Helvetica, sans-serif; font-size: 12pt; color: rgb(0, 0, 0); background-color: rgb(255, 255, 255);" class="elementToProof">
<br>
</div>
<div style="font-family: Calibri, Helvetica, sans-serif; font-size: 12pt; color: rgb(0, 0, 0); background-color: rgb(255, 255, 255);" class="elementToProof">
--</div>
<div style="font-family: Calibri, Helvetica, sans-serif; font-size: 12pt; color: rgb(0, 0, 0); background-color: rgb(255, 255, 255);" class="elementToProof">
Andrew<br>
</div>
<div id="appendonsend"></div>
<hr style="display:inline-block;width:98%" tabindex="-1">
<div id="divRplyFwdMsg" dir="ltr"><font face="Calibri, sans-serif" style="font-size:11pt" color="#000000"><b>From:</b> Philip Barnes <phil@trigpoint.me.uk><br>
<b>Sent:</b> 06 February 2023 07:44<br>
<b>To:</b> talk-gb@openstreetmap.org <talk-gb@openstreetmap.org><br>
<b>Subject:</b> Re: [Talk-GB] Import proposal: Global ML Building Footprints for Nottinghamshire, UK</font>
<div> </div>
</div>
<div>I agree with what others have said.<br>
<br>
But also why pick Nottingham?<br>
<br>
It has a very active local community and missing buildings aren't really a problem. Building mapping is pretty comprehensive and the work of splitting semis and terraces and adding addresses has largely been done.<br>
<br>
Phil (trigpoint)<br>
<br>
<div class="x_gmail_quote">On 5 February 2023 16:03:02 CET, John Charlton <coolmule0@hotmail.co.uk> wrote:
<blockquote class="x_gmail_quote" style="margin:0pt 0pt 0pt 0.8ex; border-left:1px solid rgb(204,204,204); padding-left:1ex">
<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">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">
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/">
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">
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">
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>
</blockquote>
</div>
</div>
</body>
</html>