Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Conference Papers Conference Paper Faculty Publications- Conference Papers Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource A Framework for Dress Code Monitoring System using Transfer Learning from Pre-Trained YOLOv4 Model Subject The topic of the resource CNN; Object Detection; Transfer Learning; YOLOv4 Description An account of the resource Maintaining a proper dress code in organizations or any environment is very important. It not only imbibes a sense of discipline but also reflects the personality and qualities of people as individuals. To follow this practice, some organizations like educational institutions and a few corporations have made it mandatory for the personnel to maintain proper attire as per their regulations. Manual checks are performed to adhere to the organizations' regulations which becomes tedious and erroneous most of the times. Having an automated system not only saves time but also there is very little scope of mistakes and errors. Taking this into context, the main aim and idea behind the project is to propose a model for detecting the dress code in such workplaces and educational institutions where the attire needs to be regularly monitored. The model detects Business Formals (Blazer, Shirt &amp; Pants) worn by the personnel, for which CNN has been considered, along with YOLOv4, for performing the detection, due to its nature of giving the highest accuracy in comparison to the other object-detection models. Providing the Mean Average Precision of around 81%, it becomes evident that the model performs quite well in performing the detections. 2023 IEEE. Creator An entity primarily responsible for making the resource Agarwal D.; Gupta P.; Eapen N.G. Source A related resource from which the described resource is derived International Conference on Emerging Trends in Engineering and Technology, ICETET, Vol-2023-April Publisher An entity responsible for making the resource available IEEE Computer Society Date A point or period of time associated with an event in the lifecycle of the resource 2023-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1109/ICETET-SIP58143.2023.10151460" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/ICETET-SIP58143.2023.10151460</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85163751824&amp;doi=10.1109%2FICETET-SIP58143.2023.10151460&amp;partnerID=40&amp;md5=31bc3f02ee6c83de13f4f31ea6b06c2c" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85163751824&amp;doi=10.1109%2fICETET-SIP58143.2023.10151460&amp;partnerID=40&amp;md5=31bc3f02ee6c83de13f4f31ea6b06c2c</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 21570477; ISBN: 979-835034842-2 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Conference paper Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Agarwal D., CHRIST (Deemed to Be University), Department of Data Science, Lavasa, India; Gupta P., CHRIST (Deemed to Be University), Department of Data Science, Lavasa, India; Eapen N.G., CHRIST (Deemed to Be University), Department of Data Science, Lavasa, India