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 Multiple Safety Equipment's Detection at Active Construction sites Using Effective Deep Learning Techniques Subject The topic of the resource Computer Vision; Deep Learning; Labour Workers Safety; Machine Learning; Single Shot Detection; You Only Look Once Description An account of the resource The safety of human labour is the most important thing in this era no matter where the labour force works. Governments and various NGOs focus on ensuring the delivery of the top safety to the labor class of the country. One such example is the working of the labour force at huge construction sites. For them a lot of work includes a huge amount of risks hence following full safety is the need of the hour for the workers working at construction sites. In order to deal with proper monitoring of the safety being followed at Construction sites. In order to make use of the latest technologies in this field also some of the good object detection models can be used for detecting the safety equipment of the workers which include things like Hard Hats, Masks, Vest, Boots. A lot of research is going on in improving the detection speed and accuracy of objects using state-of-the-art techniques in Computer Vision and this could lead to providing better results. Based on the available research and compute resources future work can be done to improve the results in this specific domain also. 2022 IEEE. Creator An entity primarily responsible for making the resource Tyagi R.; Thomas K.T. Source A related resource from which the described resource is derived 2022 6th International Conference on Trends in Electronics and Informatics, ICOEI 2022 - Proceedings, pp. 1271-1276. Publisher An entity responsible for making the resource available Institute of Electrical and Electronics Engineers Inc. Date A point or period of time associated with an event in the lifecycle of the resource 2022-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1109/ICOEI53556.2022.9777164" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/ICOEI53556.2022.9777164</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85131930299&amp;doi=10.1109%2FICOEI53556.2022.9777164&amp;partnerID=40&amp;md5=f083a8221fdb5ab9c4cc038b27d681b5" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85131930299&amp;doi=10.1109%2fICOEI53556.2022.9777164&amp;partnerID=40&amp;md5=f083a8221fdb5ab9c4cc038b27d681b5</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 978-166548328-5 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 Tyagi R., CHRIST University, Data Science Department, Bangalore, India; Thomas K.T., CHRIST University, Data Science Department, Bangalore, India