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FOSS4G NA 2024 - Mapillary: An Open Platform for Street Level Imagery - Edoardo Neerhut

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Content provided by Project Geospatial. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Project Geospatial or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.

Eduardo Neerhut discusses Mapillary, a collaborative street-level imagery platform, highlighting its extensive data collection and innovative applications for mapping and urban planning. Highlights ๐ŸŒ Mapillary features 2.4 billion images, showcasing global contributions and extensive coverage since its 2013 inception. ๐Ÿ–ฅ The platform uses computer vision to create 3D reconstructions from user-uploaded images, enhancing data accuracy. ๐Ÿ™ Various cities, like Detroit and Fresno, leverage Mapillary for efficient urban data management and asset tracking. ๐Ÿš— Open source and community-driven, Mapillary allows anyone to contribute imagery, contrasting with traditional methods like Google Street View. ๐Ÿ“ฑ Users can easily capture and upload images using smartphones or cameras, promoting widespread participation in mapping efforts. For more content like this check out www.projectgeospatial.com #Mapillary #Street-level #imagery #Computer #vision #Urban #planning #Open #source

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362 episodes

Artwork
iconShare
 
Manage episode 461965978 series 3234430
Content provided by Project Geospatial. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Project Geospatial or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.

Eduardo Neerhut discusses Mapillary, a collaborative street-level imagery platform, highlighting its extensive data collection and innovative applications for mapping and urban planning. Highlights ๐ŸŒ Mapillary features 2.4 billion images, showcasing global contributions and extensive coverage since its 2013 inception. ๐Ÿ–ฅ The platform uses computer vision to create 3D reconstructions from user-uploaded images, enhancing data accuracy. ๐Ÿ™ Various cities, like Detroit and Fresno, leverage Mapillary for efficient urban data management and asset tracking. ๐Ÿš— Open source and community-driven, Mapillary allows anyone to contribute imagery, contrasting with traditional methods like Google Street View. ๐Ÿ“ฑ Users can easily capture and upload images using smartphones or cameras, promoting widespread participation in mapping efforts. For more content like this check out www.projectgeospatial.com #Mapillary #Street-level #imagery #Computer #vision #Urban #planning #Open #source

  continue reading

362 episodes

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