{"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/car-type-recognition-with-deep-neural","title":"Car Type Recognition with Deep Neural Networks","arxiv_id":"1602.07125","date":"2016-02-23","proceeding":null,"authors":["Heikki Huttunen","Fatemeh Shokrollahi Yancheshmeh","Ke Chen"],"abstract":"In this paper we study automatic recognition of cars of four types: Bus,\nTruck, Van and Small car. For this problem we consider two data driven\nframeworks: a deep neural network and a support vector machine using SIFT\nfeatures. The accuracy of the methods is validated with a database of over 6500\nimages, and the resulting prediction accuracy is over 97 %. This clearly\nexceeds the accuracies of earlier studies that use manually engineered feature\nextraction pipelines.","url_abs":"http://arxiv.org/abs/1602.07125v2","url_pdf":"http://arxiv.org/pdf/1602.07125v2.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":"car-type-recognition-with-deep-neural","repo_url":"https://github.com/Valentin4869/BinCNN","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":null},{"paper_slug":"car-type-recognition-with-deep-neural","repo_url":"https://github.com/Valentin4869/MachineLearning","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"tf","reach":null}],"tasks":[{"task_slug":"type","task_name":"Vocal Bursts Type Prediction"}],"methods":[],"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}