Cricket Shot Classification with Deep Learning: Insights for Coaching and Spectator Experience Enhancement
- Title
- Cricket Shot Classification with Deep Learning: Insights for Coaching and Spectator Experience Enhancement
- Creator
- Paramanik B.; Joseph A.; Kumar R.
- Description
- 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.
- Source
- TQCEBT 2024 - 2nd IEEE International Conference on Trends in Quantum Computing and Emerging Business Technologies 2024
- Date
- 2024-01-01
- Publisher
- Institute of Electrical and Electronics Engineers Inc.
- Subject
- Batsman; Coaching Strategies; Cricket; Deep Learning; Model Architecture; Shot Classification; VGG-16
- Coverage
- 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
- Rights
- Restricted Access
- Relation
- ISBN: 979-835038427-7
- Format
- Online
- Language
- English
- Type
- Conference paper
Collection
Citation
Paramanik B.; Joseph A.; Kumar R., “Cricket Shot Classification with Deep Learning: Insights for Coaching and Spectator Experience Enhancement,” CHRIST (Deemed To Be University) Institutional Repository, accessed February 24, 2025, https://archives.christuniversity.in/items/show/19209.