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FOSS4G NA 2024 - Mapillary: An Open Platform for Street Level Imagery - Edoardo Neerhut
Manage episode 461965978 series 3234430
Eduardo Neerhut discusses Mapillary, a collaborative street-level imagery platform, highlighting its extensive data collection and innovative applications for mapping and urban planning. Highlights 🌐 Mapillary features 2.4 billion images, showcasing global contributions and extensive coverage since its 2013 inception. 🖥 The platform uses computer vision to create 3D reconstructions from user-uploaded images, enhancing data accuracy. 🏙 Various cities, like Detroit and Fresno, leverage Mapillary for efficient urban data management and asset tracking. 🚗 Open source and community-driven, Mapillary allows anyone to contribute imagery, contrasting with traditional methods like Google Street View. 📱 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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Manage episode 461965978 series 3234430
Eduardo Neerhut discusses Mapillary, a collaborative street-level imagery platform, highlighting its extensive data collection and innovative applications for mapping and urban planning. Highlights 🌐 Mapillary features 2.4 billion images, showcasing global contributions and extensive coverage since its 2013 inception. 🖥 The platform uses computer vision to create 3D reconstructions from user-uploaded images, enhancing data accuracy. 🏙 Various cities, like Detroit and Fresno, leverage Mapillary for efficient urban data management and asset tracking. 🚗 Open source and community-driven, Mapillary allows anyone to contribute imagery, contrasting with traditional methods like Google Street View. 📱 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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