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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
Research article (Urban Informatics, 2024) · cited 15× · AI/ML
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
Summary
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 is a scholarly article[1].
Key Facts
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's instance of is recorded as scholarly article[2].
References
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Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). 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. Retrieved May 24, 2026, from https://4ort.xyz/entity/cim-wv-a-2d-semantic-segmentation-dataset-of-rich-window-view-contents-in-high-rise-high-density-hong-kong-based-on-phot
MLA“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.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/cim-wv-a-2d-semantic-segmentation-dataset-of-rich-window-view-contents-in-high-rise-high-density-hong-kong-based-on-phot.
BibTeX@misc{4ortxyz_cim-wv-a-2d-semantic-segmentation-dataset-of-rich-window-view-contents-in-high-rise-high-density-hong-kong-based-on-phot_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{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}}, year = {2026}, url = {https://4ort.xyz/entity/cim-wv-a-2d-semantic-segmentation-dataset-of-rich-window-view-contents-in-high-rise-high-density-hong-kong-based-on-phot}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): 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 — https://4ort.xyz/entity/cim-wv-a-2d-semantic-segmentation-dataset-of-rich-window-view-contents-in-high-rise-high-density-hong-kong-based-on-phot (retrieved 2026-05-24)
