{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/house-price-estimation-from-visual-and","title":"House price estimation from visual and textual features","arxiv_id":"1609.08399","date":"2016-09-27","proceeding":null,"authors":["Eman Ahmed","Mohamed Moustafa"],"abstract":"Most existing automatic house price estimation systems rely only on some\ntextual data like its neighborhood area and the number of rooms. The final\nprice is estimated by a human agent who visits the house and assesses it\nvisually. In this paper, we propose extracting visual features from house\nphotographs and combining them with the house's textual information. The\ncombined features are fed to a fully connected multilayer Neural Network (NN)\nthat estimates the house price as its single output. To train and evaluate our\nnetwork, we have collected the first houses dataset (to our knowledge) that\ncombines both images and textual attributes. The dataset is composed of 535\nsample houses from the state of California, USA. Our experiments showed that\nadding the visual features increased the R-value by a factor of 3 and decreased\nthe Mean Square Error (MSE) by one order of magnitude compared with\ntextual-only features. Additionally, when trained on the benchmark textual-only\nfeatures housing dataset, our proposed NN still outperformed the existing model\npublished results.","url_abs":"http://arxiv.org/abs/1609.08399v1","url_pdf":"http://arxiv.org/pdf/1609.08399v1.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"house-price-estimation-from-visual-and","repo_url":"https://github.com/emanhamed/Houses-dataset","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":1,"framework":"none","reach":null}],"tasks":[],"methods":[],"datasets_introduced":[{"slug":"houses-dataset","name":"Houses Dataset","full_name":null}],"methods_introduced":[],"results":[],"syntology":{"atlas_url":"https://app.syntology.ai/?focus=1609.08399","mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}