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  Published Paper Details:

  Paper Title

AN INTERACTIVE APPROACH TO IDENTIFY CRICKET SHOTS THROUGH DEEP LEARNING MECHANISM

  Authors

  Nishant Koratkar,  Swapnil Patil,  Darshan Pawar,  Anil Vislavath,  Mrs, Hema Kumbhar

  Keywords

Image Normalization, Convolutional Neural Networks, Cricket Shot Identification, Sports analytics, T20 cricket, Region wise strike rate.

  Abstract


Recently, a lot of sports have gained popularity and attention. Many individuals had a strong desire to watch a game being played because there had been no athletic events during the worst of the current outbreak. Cricket is without a doubt the most popular sport in India, with millions of followers who watch the games with fervour. Because they are so invested in the game, spectators analyse each player's abilities in great depth, particularly their shot selection. Interest in evaluating players so that they might be selected for teams has developed as a result of the popularity of fantasy leagues and other services of a similar sort. One of the time-consuming methods is manually identifying superior shots.

  IJCRT's Publication Details

  Unique Identification Number - IJCRT23A5478

  Paper ID - 238240

  Page Number(s) - M523-M527

  Pubished in - Volume 11 | Issue 5 | May 2023

  DOI (Digital Object Identifier) -   

  Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882

  E-ISSN Number - 2320-2882

  Cite this article

  Nishant Koratkar,  Swapnil Patil,  Darshan Pawar,  Anil Vislavath,  Mrs, Hema Kumbhar,   "AN INTERACTIVE APPROACH TO IDENTIFY CRICKET SHOTS THROUGH DEEP LEARNING MECHANISM", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.11, Issue 5, pp.M523-M527, May 2023, Available at :http://www.ijcrt.org/papers/IJCRT23A5478.pdf

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ISSN: 2320-2882
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ISSN and 7.97 Impact Factor Details


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ISSN: 2320-2882
Impact Factor: 7.97 and ISSN APPROVED
Journal Starting Year (ESTD) : 2013
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