{"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/view-independent-vehicle-make-model-and-color","title":"View Independent Vehicle Make, Model and Color Recognition Using Convolutional Neural Network","arxiv_id":"1702.01721","date":"2017-02-06","proceeding":null,"authors":["Afshin Dehghan","Syed Zain Masood","Guang Shu","Enrique. G. Ortiz"],"abstract":"This paper describes the details of Sighthound's fully automated vehicle\nmake, model and color recognition system. The backbone of our system is a deep\nconvolutional neural network that is not only computationally inexpensive, but\nalso provides state-of-the-art results on several competitive benchmarks.\nAdditionally, our deep network is trained on a large dataset of several million\nimages which are labeled through a semi-automated process. Finally we test our\nsystem on several public datasets as well as our own internal test dataset. Our\nresults show that we outperform other methods on all benchmarks by significant\nmargins. Our model is available to developers through the Sighthound Cloud API\nat https://www.sighthound.com/products/cloud","url_abs":"http://arxiv.org/abs/1702.01721v1","url_pdf":"http://arxiv.org/pdf/1702.01721v1.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":"view-independent-vehicle-make-model-and-color","repo_url":"https://github.com/MSJose2K5/grab-ai4sea-2019","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"pytorch","reach":null}],"tasks":[],"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}