[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"doc-detail-126087-en":3,"doc-seo-126087-105":31,"detail-sidebar-cat-0-en-105":93},{"code":4,"msg":5,"data":6},0,"success",{"doc_id":7,"user_id":8,"nickname":9,"user_avatar":10,"doc_module":4,"category_id":11,"category_name":12,"doc_title":13,"doc_description":14,"doc_content":15,"file_id":16,"file_url":17,"file_type":18,"file_size":19,"view_count":20,"is_deleted":4,"is_public":21,"is_downloadable":21,"audit_status":21,"page_count":22,"language":23,"language_code":24,"site_id":25,"html_lang":24,"table_of_contents":26,"faqs":27,"seo_title":28,"seo_description":14,"update_tm":29,"read_time":30},126087,962084931830,"Theodore","https://ap-avatar.wpscdn.com/davatar_a8503ba1806abce46bf441b54a3ca4cd",8,"Research & Report","DRESS-CODE VIOLATION DETECTION IN ARABIC REGIONS USING OBJECT DETECTION MACHINE LEARNING MODEL","The dress code violation detection system supports accurate assessment of clothing appropriateness in public settings. This research improves detection performance through advanced computer vision and machine learning methods that categorize attire in images and videos. A unique dataset is generated from mixed Western and Arabic clothing contexts to enable system flexibility and a user-friendly graphical interface. The system supports uploads and live video processing while incorporating robust privacy measures. Training uses DeepFashion, the People Segment Dataset, and web sources, with a labeled dataset of 1520 images.","United Arab Emirates University  \nScholarworks@UAEU  \n\n| Theses | Electronic Theses and Dissertations |\n| --- | --- |\n| 11-2023\u003Cbr>DRESS-CODE VIOLATION DETECTION IN ARABIC REGIONS USING OBJECT DETECTION MACHINE LEARNING MODEL\u003Cbr>Maha Sadat Aghaei\u003Cbr>United Arab Emirates University\u003Cbr>Follow this and additional works at: [https://scholarworks.uaeu.ac.ae/all_theses](https://scholarworks.uaeu.ac.ae/all_theses)\u003Cbr> Part of the Software Engineering Commons |  |\n\nRecommended Citation  \nAghaei, Maha Sadat, \"DRESS-CODE VIOLATION DETECTION IN ARABIC REGIONS USING OBJECT DETECTION MACHINE LEARNING MODEL\" (2023) . Theses. 1225.  \n[https://scholarworks.uaeu.ac.ae/all_theses/1225](https://scholarworks.uaeu.ac.ae/all_theses/1225)  \nThis Thesis is brought to you for free and open access by the Electronic Theses and Dissertations at Scholarworks@UAEU. It has been accepted for inclusion in Theses by an authorized administrator of Scholarworks@UAEU. For more information, please contact mariam_[aljaberi@uaeu.ac.ae](aljaberi@uaeu.ac.ae).  \nMASTER THESIS NO. 2023: 95  \nCollege of Information Technology  \nDepartment of Computer Science and Software Engineering  \nDRESS-CODE VIOLATION DETECTION IN ARABIC REGIONS USING OBJECT DETECTION MACHINE  \nLEARNING MODEL  \nMaha Sadat Sayyed Mahdi Aghaei  \nNovember 2023  \nUnited Arab Emirates University  \nCollege of Information Technology Department of Computer Science and Software Engineering  \nDRESS-CODE VIOLATION DETECTION IN ARABIC REGIONS USING OBJECT DETECTION MACHINE LEARNING MODEL  \nMaha Sadat Sayyed Mahdi Aghaei  \nThis thesis is submitted in partial fulfilment of the requirements for the degree of Master  \nof Science in Software Engineering  \nNovember 2023  \nUnited Arab Emirates University Master Thesis 2023: 95  \nCover: Dress code detection system  \n(Photo: By Maha Sadat Sayyed Mahdi Aghaei)  \n© 2023 Maha Sadat Sayyed Mahdi Aghaei, Al Ain, UAE All Rights Reserved  \nPrint: University Print Service, UAEU 2023  \nDeclaration of Original Work  \nI, Maha Sadat Sayyed Mahdi Aghaei, the undersigned, a graduate student at the United Arab Emirates University (UAEU), and the author of this thesis entitled “Dress-Code Violation Detection in Arabic Regions Using Object Detection Machine Learning Model”, hereby, solemnly declare that this is the original research work done by me under the supervision of Dr. Munkhjargal Gochoo, in the College of Information Technology at UAEU. This work has not previously formed the basis for the award of any academic degree, diploma or a similar title at this or any other university. Any materials borrowed from other sources (whether published or unpublished) and relied upon or included in my thesis have been properly cited and acknowledged in accordance with appropriate academic conventions. I further declare that there is no potential conflict of interest with respect to the research, data collection, authorship, presentation and/or publication of this thesis.  \nStudent’s Signature:  \nDate: 21 October 2023  \nApproval of the Master Thesis  \nThis Master Thesis is approved by the following Examining Committee Members:  \n1) Advisor (Committee Chair): Dr. Munkhjargal Gochoo  \nTitle: Assistant Professor  \nDepartment of Computer Science & Software Engineering  \nCollege of Information Technology  \nSignature  \nDate: 25/11/2023  \n2) Member: Dr. Fady Alnajjar  \nTitle: Associate Professor  \nDepartment of Computer Science & Software Engineering College of Information Technology  \nSignature:  Date: 26/11/2023 3) Member (External Examiner): Dr. Lai Khin Wee  \nTitle: Associate Professor  \nDepartment of Biomedical Engineering  \nInstitution: Universiti Malaya, Malaysia  \nSignature  \nDate: 26/11/2023  \nThis Master Thesis is accepted by:  \nActing Dean of the College of Information Technology: Dr. Fekri Kharbash  \nSignature   Date  03/01/2024   \nDean of the College of Graduate Studies: Professor Ali Al-Marzouqi  \nSignature    \nDate January 3 , 2024   \nAbstract  \nThe dress code violation detection system","cbCaisbJQ2XD2POt","https://ap.wps.com/l/cbCaisbJQ2XD2POt","pdf",20609067,6,1,70,"English","en",105,"# Abstract\n## Dataset creation and privacy measures\n## Model and training workflow\n## Evaluation results and system capability","[{\"question\":\"What is the main goal of this dress-code violation detection thesis?\",\"answer\":\"To improve a dress-code violation detection system by using computer vision and machine learning to more effectively categorize people’s attire in images and videos.\"},{\"question\":\"What dataset and labeling approach were used for clothing detection?\",\"answer\":\"The study used data from DeepFashion, the People Segment Dataset, and web sources, and created a labeled dataset of 1520 images with bounding boxes using CVAT.\"},{\"question\":\"Which model was used and what were the reported performance metrics?\",\"answer\":\"The thesis applied YOLOv8 for identifying proper versus improper clothing, reporting an F1-score of 0.83 and an mAP of 0.84.\"}]","DRESS-CODE VIOLATION DETECTION IN ARABIC REGIONS USING OBJECT DETECTION MACHINE LEARNING MODEL | 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is the main goal of this dress-code violation detection thesis?","Question",{"text":77,"@type":78},"To improve a dress-code violation detection system by using computer vision and machine learning to more effectively categorize people’s attire in images and videos.","Answer",{"name":80,"@type":75,"acceptedAnswer":81},"What dataset and labeling approach were used for clothing detection?",{"text":82,"@type":78},"The study used data from DeepFashion, the People Segment Dataset, and web sources, and created a labeled dataset of 1520 images with bounding boxes using CVAT.",{"name":84,"@type":75,"acceptedAnswer":85},"Which model was used and what were the reported performance metrics?",{"text":86,"@type":78},"The thesis applied YOLOv8 for identifying proper versus improper clothing, reporting an F1-score of 0.83 and an mAP of 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