{"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/a-large-scale-car-dataset-for-fine-grained","title":"A Large-Scale Car Dataset for Fine-Grained Categorization and Verification","arxiv_id":"1506.08959","date":"2015-06-30","proceeding":"CVPR 2015 6","authors":["Linjie Yang","Ping Luo","Chen Change Loy","Xiaoou Tang"],"abstract":"Updated on 24/09/2015: This update provides preliminary experiment results\nfor fine-grained classification on the surveillance data of CompCars. The\ntrain/test splits are provided in the updated dataset. See details in Section\n6.","url_abs":"http://arxiv.org/abs/1506.08959v2","url_pdf":"http://arxiv.org/pdf/1506.08959v2.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":"a-large-scale-car-dataset-for-fine-grained","repo_url":"https://github.com/duongttr/SWP","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"tf","reach":{"status":"ok"}},{"paper_slug":"a-large-scale-car-dataset-for-fine-grained","repo_url":"https://github.com/gojkoc54/HOG_SVM_Vehicle_Detection","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":{"status":"ok"}},{"paper_slug":"a-large-scale-car-dataset-for-fine-grained","repo_url":"https://github.com/seanren96/Object-Detection","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":{"status":"ok"}}],"tasks":[{"task_slug":"fine-grained-image-classification","task_name":"Fine-Grained Image Classification"},{"task_slug":"classification","task_name":"General Classification"}],"methods":[],"datasets_introduced":[{"slug":"compcars","name":"CompCars","full_name":"Comprehensive Cars"}],"methods_introduced":[],"results":[{"leaderboard":"/sota/fine-grained-image-classification-on-compcars","task":"Fine-Grained Image Classification","dataset":"CompCars","model":"GoogLeNet","rank_in_archive_order":6,"of":7,"metrics":{"Accuracy":"91.2%"},"uses_additional_data":false},{"leaderboard":"/sota/fine-grained-image-classification-on-compcars","task":"Fine-Grained Image Classification","dataset":"CompCars","model":"AlexNet","rank_in_archive_order":7,"of":7,"metrics":{"Accuracy":"81.9%"},"uses_additional_data":false}],"syntology":{"syntology_url":"https://syntology.ai/paper/1506.08959","atlas_url":"https://app.syntology.ai/?focus=1506.08959","mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}