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 Cricket Shot Classification with Deep Learning: Insights for Coaching and Spectator Experience Enhancement Subject The topic of the resource Batsman; Coaching Strategies; Cricket; Deep Learning; Model Architecture; Shot Classification; VGG-16 Description An account of the resource The cricket field has undergone significant transformations owing to recent technological advancements, particularly in countries like India. Technology has been used to determine projected scores, chances of winning, run rates, and many more parameters. This study centers on employing Deep Learning in cricket, focusing on the classification of different types of shots played by batsmen to aid in creating coaching strategies and enhancing the spectator experience. The proposed model uses a dataset of cricketing shots generated by collecting images from the internet, comprising 5781 images of 7 distinct shot types played by batters. The VGG-16, VGG-19, and RestNet-50 model architectures were trained for the classification task, with the best result obtained from VGG-16. Pre-processing tasks, such as scaling, augmentation, etc., were performed on the images before classification. Subsequently, 85% of the total images were used to train the model and for testing, rest 15% of images, resulting in an accuracy of 96.50% from VGG-16, 92% from VGG-19, and 78% from RestNet-50. 2024 IEEE. Creator An entity primarily responsible for making the resource Paramanik B.; Joseph A.; Kumar R. Source A related resource from which the described resource is derived TQCEBT 2024 - 2nd IEEE International Conference on Trends in Quantum Computing and Emerging Business Technologies 2024 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 2024-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1109/TQCEBT59414.2024.10545296" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/TQCEBT59414.2024.10545296</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85204488799&amp;doi=10.1109%2FTQCEBT59414.2024.10545296&amp;partnerID=40&amp;md5=4d1a77f4406d18a7bca32b5b34c302a0" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85204488799&amp;doi=10.1109%2fTQCEBT59414.2024.10545296&amp;partnerID=40&amp;md5=4d1a77f4406d18a7bca32b5b34c302a0</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 979-835038427-7 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 Paramanik B., Christ (Deemed to Be University), Lavasa, Pune, India; Joseph A., Christ (Deemed to Be University), Lavasa, Pune, India; Kumar R., Christ (Deemed to Be University), Lavasa, Pune, India