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<font face="Calibri">That sounds quite interesting - I'm wondering
if it could be accurate enough to use as a tool for automatically
tracing/classifying/tagging features based on imagery in some
scenarios? I imagine the error rate would be quite a lot higher
than with proper mapping, but in some situations having a fast
initial assessment (before focusing on accuracy) is useful?</font><br>
<div class="moz-cite-prefix">On 26-05-2016 12:57, Martin Dittus
<pre wrap="">Made the rounds on social media yesterday, I imagine a few of you have already seen it.
<a class="moz-txt-link-freetext" href="http://www.terrapattern.com/">http://www.terrapattern.com/</a>
It’s a visual search for aerial imagery — "a prototype for helping people quickly scan extremely large geographical areas for specific visual features”. You mark a desired feature, it finds all other occurrences.
Their case studies mention OSM as a source data set, but they don’t yet appear to be talking to anyone at HOT? "Terrapattern was only possible due to the astonishing crowdsourced mapping effort of the OpenStreetMap project, which has generously categorized large parts of the world with its Nominatim taxonomy”.
HOT mailing list
<a class="moz-txt-link-abbreviated" href="mailto:HOT@openstreetmap.org">HOT@openstreetmap.org</a>
<a class="moz-txt-link-freetext" href="https://lists.openstreetmap.org/listinfo/hot">https://lists.openstreetmap.org/listinfo/hot</a>