00000nam 2200000zi 4500 9.905566 CaOODSP 20221107180853 m o d f cr cn||||||||| 211202t20222022oncda ob f000 0 eng d 9780660411682 CaOODSP eng rda CaOODSP n-cn--- CS18-001/2021-3E-PDF Habashna, Ala'a Al-, author. Building type classification from street-view imagery using convolutional neural networks / by Ala’a Al-Habashna. [Ottawa] : Statistics Canada = Statistique Canada, 2022. ©2022 1 online resource (20 pages) : charts, illustrations text txt rdacontent computer c rdamedia online resource cr rdacarrier Reports on special business projects Issued also in French under title: Classification des types d'immeubles au moyen d'images prises à partir de la rue à l'aide de réseaux neuronaux convolutifs. Issued also in HTML format. "Release date: January 21, 2022." Includes bibliographical references (pages 20). "Micro-level information on buildings and physical infrastructure is increasing in relevance to social, economic and environmental statistical programs. Alternative data sources and advanced analytical methods can be used to generate some of this information. This paper presents how multiple convolutional neural networks (CNNs) are finetuned to classify buildings into different types (e.g., house, apartment, industrial) using their street-view images"--Summary, page 6. Buildings Canada Classification. Statistics Canada, issuing body. Classification des types d'immeubles au moyen d'images prises à partir de la rue à l'aide de réseaux neuronaux convolutifs / (CaOODSP)9.905567 Reports on special business projects. (CaOODSP)9.826502 PDF 1.73 MB https://publications.gc.ca/collections/collection_2022/statcan/18-001-x/18-001-x2021003-eng.pdf HTML N/A https://www150.statcan.gc.ca/n1/pub/18-001-x/18-001-x2021003-eng.htm 18-001-X