CIM-WV: A 2D semantic segmentation dataset of rich window view contents in high-rise, high-density Hong Kong based on photorealistic city information models.
In: Urban Inform., Jg. 3 (2024), Heft 1
academicJournal
Zugriff:
Titel: |
CIM-WV: A 2D semantic segmentation dataset of rich window view contents in high-rise, high-density Hong Kong based on photorealistic city information models.
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Autor/in / Beteiligte Person: | Li, Maosu ; Yeh, Anthony G. O. ; Xue, Fan |
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Zeitschrift: | Urban Inform., Jg. 3 (2024), Heft 1 |
Veröffentlichung: | 2024 |
Medientyp: | academicJournal |
DOI: | 10.1007/s44212-024-00039-7 |
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