{"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/ai-blue-book-vehicle-price-prediction-using","title":"AI Blue Book: Vehicle Price Prediction using Visual Features","arxiv_id":"1803.11227","date":"2018-03-29","proceeding":null,"authors":["Richard R. Yang","Steven Chen","Edward Chou"],"abstract":"In this work, we build a series of machine learning models to predict the\nprice of a product given its image, and visualize the features that result in\nhigher or lower price predictions. We collect two novel datasets of product\nimages and their MSRP prices for this purpose: a bicycle dataset and a car\ndataset. We set baselines for price regression using linear regression on\nhistogram of oriented gradients (HOG) and convolutional neural network (CNN)\nfeatures, and a baseline for price segment classification using a multiclass\nSVM. For our main models, we train several deep CNNs using both transfer\nlearning and our own architectures, for both regression and classification. We\nachieve strong results on both datasets, with deep CNNs significantly\noutperforming other models in a variety of metrics. Finally, we use several\nrecently-developed methods to visualize the image features that result in\nhigher or lower prices.","url_abs":"http://arxiv.org/abs/1803.11227v2","url_pdf":"http://arxiv.org/pdf/1803.11227v2.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":"ai-blue-book-vehicle-price-prediction-using","repo_url":"https://github.com/richardyang/AI-blue-book","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":null}],"tasks":[{"task_slug":"classification","task_name":"General Classification"},{"task_slug":"prediction","task_name":"Prediction"},{"task_slug":"transfer-learning","task_name":"Transfer Learning"},{"task_slug":"regression-1","task_name":"regression"}],"methods":[{"method_slug":"linear-regression","method_name":"Linear Regression"}],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"syntology_url":null,"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}