<oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:creator>Google Earth imagery</dc:creator><dc:description>This large-scale open dataset consists of outlines of buildings derived from high-resolution 50 cm satellite imagery. It contains 1.8B building detections in Africa, Latin America, Caribbean, South Asia and Southeast Asia. The inference spanned an area of 58M km² and was carried out during May 2023. Each building in this dataset includes a polygon describing its footprint size on the ground and a confidence score indicating how sure this is a building. There is no information about the type of building, its street address, or any details other than its geometry. The HDX team curates these datasets at [Google Open Buildings (by HDX)](https://data.humdata.org/organization/google-open-buildings) using international boundaries from the UN Geospatial Hub. For more details, see the official website of the [Open Buildings dataset](https://sites.research.google/gr/open-buildings/).</dc:description><dc:identifier>buildings-google-caf</dc:identifier><dc:publisher>Humanitarian Data Exchange</dc:publisher><dc:rights>Public</dc:rights><dc:title>Central African Republic: Google Building Footprints</dc:title><dc:type>Datasets</dc:type><dc:coverage>Central African Republic</dc:coverage><dc:date>2023-05-30</dc:date></oai_dc:dc>