{"id":8676,"date":"2018-09-07T07:00:48","date_gmt":"2018-09-07T15:00:48","guid":{"rendered":"http:\/\/formtek.com\/blog\/?p=8676"},"modified":"2018-07-16T20:54:33","modified_gmt":"2018-07-17T04:54:33","slug":"open-data-microsoft-bing-contributes-building-footprint-data-to-openstreetmap","status":"publish","type":"post","link":"https:\/\/formtek.com\/blog\/open-data-microsoft-bing-contributes-building-footprint-data-to-openstreetmap\/","title":{"rendered":"Open Data: Microsoft Bing Contributes Building Footprint Data to OpenStreetMap"},"content":{"rendered":"<p>OpenStreetMap <a href=\"https:\/\/www.geospatialworld.net\/blogs\/microsoft-releases-building-footprints\/\">recently released 125 million US building footprints<\/a>, contributed <a href=\"https:\/\/wiki.openstreetmap.org\/wiki\/Microsoft_Building_Footprint_Data\">by Microsoft<\/a>,\u00a0 as part of their open available geo-data set.\u00a0 The work at Microsoft was done as part of the Bing search engine.\u00a0 <a href=\"https:\/\/wiki.openstreetmap.org\/wiki\/About_OpenStreetMap\">OpenStreetMap<\/a> is a free and editable map of the world that is released under an open-content license.\u00a0 Prior to this update, OpenStreetMap had about 30 million building footprints.<\/p>\n<p>The building data was extracted by a team within the Microsoft Bing Maps team.\u00a0 Using Deep Neural Networks and <a href=\"https:\/\/medium.com\/@14prakash\/understanding-and-implementing-architectures-of-resnet-and-resnext-for-state-of-the-art-image-cf51669e1624\">ResNet34<\/a>, the team was able to detect and extract the outlines or footprints of building contained in Bing geo-imagery.<\/p>\n<p><a href=\"https:\/\/gis.stackexchange.com\/questions\/26938\/purpose-of-building-footprints\">In the public sector<\/a>, building footprints are useful for taxation, planning and public safety.\u00a0 In the private sector, building footprint maps can be used for planning, visualization, analysis and suitability 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