{"data":{"id":"10.6084/m9.figshare.3504323","type":"dois","attributes":{"doi":"10.6084/m9.figshare.3504323","prefix":"10.6084","suffix":"m9.figshare.3504323","identifiers":[],"alternateIdentifiers":[],"creators":[{"name":"Bradbury, Kyle","nameType":"Personal","givenName":"Kyle","familyName":"Bradbury","affiliation":[],"nameIdentifiers":[{"nameIdentifier":"https://orcid.org/0000-0001-9847-0243","nameIdentifierScheme":"ORCID"}]},{"name":"Brigman, Benjamin","nameType":"Personal","givenName":"Benjamin","familyName":"Brigman","affiliation":[],"nameIdentifiers":[{"nameIdentifier":"https://orcid.org/0000-0001-7674-2439","nameIdentifierScheme":"ORCID"}]},{"name":"Collins, Leslie","nameType":"Personal","givenName":"Leslie","familyName":"Collins","affiliation":[],"nameIdentifiers":[]},{"name":"Johnson, Timothy","nameType":"Personal","givenName":"Timothy","familyName":"Johnson","affiliation":[],"nameIdentifiers":[]},{"name":"Lin, Sebastian","nameType":"Personal","givenName":"Sebastian","familyName":"Lin","affiliation":[],"nameIdentifiers":[]},{"name":"Newell, Richard","nameType":"Personal","givenName":"Richard","familyName":"Newell","affiliation":[],"nameIdentifiers":[{"nameIdentifier":"https://orcid.org/0000-0002-3205-5562","nameIdentifierScheme":"ORCID"}]},{"name":"Park, Sophia","nameType":"Personal","givenName":"Sophia","familyName":"Park","affiliation":[],"nameIdentifiers":[]},{"name":"Sunith Suresh","affiliation":[],"nameIdentifiers":[]},{"name":"Hoel Wiesner","affiliation":[],"nameIdentifiers":[]},{"name":"Xi, Yue","nameType":"Personal","givenName":"Yue","familyName":"Xi","affiliation":[],"nameIdentifiers":[]}],"titles":[{"title":"New Haven, Connecticut - Aerial imagery object identification dataset for building and road detection, and building height estimation"}],"publisher":"Figshare","container":{},"publicationYear":2016,"subjects":[{"subject":"80104 Computer Vision","subjectScheme":"FOR"},{"subject":"FOS: Computer and information sciences","schemeUri":"http://www.oecd.org/science/inno/38235147.pdf","subjectScheme":"Fields of Science and Technology (FOS)"},{"subject":"FOS: Computer and information sciences","subjectScheme":"Fields of Science and Technology (FOS)"},{"subject":"80106 Image Processing","subjectScheme":"FOR"},{"subject":"80109 Pattern Recognition and Data Mining","subjectScheme":"FOR"},{"subject":"129999 Built Environment and Design not elsewhere classified","subjectScheme":"FOR"},{"subject":"FOS: Civil engineering","schemeUri":"http://www.oecd.org/science/inno/38235147.pdf","subjectScheme":"Fields of Science and Technology (FOS)"},{"subject":"FOS: Civil engineering","subjectScheme":"Fields of Science and Technology (FOS)"}],"contributors":[],"dates":[{"date":"2016-07-28","dateType":"Created"},{"date":"2016-07-29","dateType":"Updated"},{"date":"2016","dateType":"Issued"}],"language":null,"types":{"ris":"GEN","bibtex":"misc","citeproc":"article","schemaOrg":"Collection","resourceType":"Fileset","resourceTypeGeneral":"Collection"},"relatedIdentifiers":[],"relatedItems":[],"sizes":["579648410 Bytes"],"formats":[],"version":null,"rightsList":[{"rights":"CC-BY","rightsUri":"http://creativecommons.org/licenses/by/3.0/us"}],"descriptions":[{"description":"This dataset is part of the larger data collection, “Aerial\nimagery object identification dataset for building and road detection, and\nbuilding height estimation”, linked to in the references below and can be\naccessed here: https://dx.doi.org/10.6084/m9.figshare.c.3290519. For a full\ndescription of the data, please see the metadata: https://dx.doi.org/10.6084/m9.figshare.3504413.\n\nImagery data from the United States Geological Survey (USGS);\nbuilding and road shapefiles are from OpenStreetMaps (OSM) (these OSM data are\nmade available under the Open Database License: http://opendatacommons.org/licenses/odbl/1.0/);\nand the Lidar data are from U.S. National Oceanic and Atmospheric\nAdministration (NOAA), the Texas Natural Resources Information System 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