ArticleScientific reports2022
Combining deep learning and crowd-sourcing images to predict housing quality in rural China.
Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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Who cites it
2 citing papers in PubMed.
- Grounded theory-KANO model for optimising peri-urban rural housing design.Scientific reports · 2026Article
- Large-scale modeling for housing condition prediction using machine learning algorithms.Scientific data · 2026Article
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Authors and funding
7 authors.
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Abstract
Housing quality is essential to human well-being, security and health. Monitoring the housing quality is crucial for unveiling the socioeconomic development status and providing political proposals. However, depicting the nationwide housing quality in large-scale and fine detail is exceedingly rare in remote rural areas owing to the high cost of canonical survey methods. Taking rural China as an example, we collect massive rural house images for housing quality assessment by various volunteers and further build up a deep learning model based on the assessed images to realize an automatic prediction for huge raw house images. As a result, the model performance achieves a high R
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