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Article

Olympic Games Event Recognition via Transfer Learning with Photobombing Guided Data Augmentation

1
Department of Computer Science, University of Dayton, Dayton, OH 45469, USA
2
Department of Computer Science, College of Computer Technology Benghazi, Benghazi 16063, Libya
*
Author to whom correspondence should be addressed.
Received: 23 November 2020 / Revised: 16 January 2021 / Accepted: 18 January 2021 / Published: 20 January 2021
(This article belongs to the Special Issue Image Retrieval in Transfer Learning)
Automatic event recognition in sports photos is both an interesting and valuable research topic in the field of computer vision and deep learning. With the rapid increase and the explosive spread of data, which is being captured momentarily, the need for fast and precise access to the right information has become a challenging task with considerable importance for multiple practical applications, i.e., sports image and video search, sport data analysis, healthcare monitoring applications, monitoring and surveillance systems for indoor and outdoor activities, and video captioning. In this paper, we evaluate different deep learning models in recognizing and interpreting the sport events in the Olympic Games. To this end, we collect a dataset dubbed Olympic Games Event Image Dataset (OGED) including 10 different sport events scheduled for the Olympic Games Tokyo 2020. Then, the transfer learning is applied on three popular deep convolutional neural network architectures, namely, AlexNet, VGG-16 and ResNet-50 along with various data augmentation methods. Extensive experiments show that ResNet-50 with the proposed photobombing guided data augmentation achieves 90% in terms of accuracy. View Full-Text
Keywords: image classification; sport event classification; transfer learning; deep learning; data augmentation image classification; sport event classification; transfer learning; deep learning; data augmentation
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MDPI and ACS Style

Mohamad, Y.I.; Baraheem, S.S.; Nguyen, T.V. Olympic Games Event Recognition via Transfer Learning with Photobombing Guided Data Augmentation. J. Imaging 2021, 7, 12. https://0-doi-org.brum.beds.ac.uk/10.3390/jimaging7020012

AMA Style

Mohamad YI, Baraheem SS, Nguyen TV. Olympic Games Event Recognition via Transfer Learning with Photobombing Guided Data Augmentation. Journal of Imaging. 2021; 7(2):12. https://0-doi-org.brum.beds.ac.uk/10.3390/jimaging7020012

Chicago/Turabian Style

Mohamad, Yousef I., Samah S. Baraheem, and Tam V. Nguyen 2021. "Olympic Games Event Recognition via Transfer Learning with Photobombing Guided Data Augmentation" Journal of Imaging 7, no. 2: 12. https://0-doi-org.brum.beds.ac.uk/10.3390/jimaging7020012

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