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UID:pretalx-foss4g-2024-JSR7TR@talks.staging.osgeo.org
DTSTART;TZID=-03:20241205T104500
DTEND;TZID=-03:20241205T111500
DESCRIPTION:This talk will cover some of the following areas:\n1. An overvi
 ew of Mapillary.\n2. Who is contributing and some interesting case studies
 .\n3. Some of the recent updates including 2.0 mobile apps\, NeRFs\, and i
 mproved upload.\n4. How to contribute including cameras\, upload tools\, a
 nd best practices.\n5. How to download data using Mapillary's web interfac
 e and API.\n\nSince Mapillary launched in 2013\, over 2 billion images hav
 e been contributed from places as far afield as Antarctica and Zimbabwe. I
 mages can be uploaded from any device that creates geotagged images\, from
  affordable smartphones to commercial grade 360° cameras. \n\nEvery image
  is processed with computer vision to recreate the world in 3D and extract
  features that are useful for map making. These capabilities have attracte
 d all sorts of map builders including advocates for pedestrian safety\, hu
 manitarian agencies\, state and local transportation departments\, OpenStr
 eetMap contributors\, ridesharing companies and more.\n\nIn this talk we
 ’ll recap Mapillary for those that are less familiar\, sharing some more
  recent case studies to help crystalize the utility of street-level imager
 y. We’ll then cover some of the platform changes of 2024\, including the
  launch of the revised mobile apps (2.0). This leads into our latest recom
 mendations for how to capture and upload street-level imagery effectively.
  We’ll conclude with a look at how you can download map features using t
 he web interface and Python tools.
DTSTAMP:20260428T114501Z
LOCATION:Room III
SUMMARY:Mapillary 2.0 - How street-level imagery helps us understand the wo
 rld - Edoardo Neerhut
URL:https://talks.staging.osgeo.org/foss4g-2024/talk/JSR7TR/
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