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  Published Paper Details:

  Paper Title

IMAGE CLASSIFICATION ANDROID APP

  Authors

  Pratik Jivan Jadhav,  Ashish Anil Kambale,  Sairaj Sanjay Matkar

  Keywords

python, Tensorflow Library, Convolutional Neural Network, Artificial Neural Network.

  Abstract


Image classification is used to close the visual perception gap between computers and humans, enabling machines to recognise images in the same manner that people do. Although the traditional system that is now in place has been used extensively in practical situations, there are still certain issues with practical procedures, such as poor classification accuracy, poor adaptive capacity, and unsatisfying results. Therefore, deep learning has been suggested for picture classification in order to address these issues and improve accuracy. This essay examines the fundamental ideas around the use of deep learning for image classification, as well as the advantages of deep learning for image classification and the numerous applications that employ deep learning for image classification.

  IJCRT's Publication Details

  Unique Identification Number - IJCRT2210371

  Paper ID - 226778

  Page Number(s) - d200-d203

  Pubished in - Volume 10 | Issue 10 | October 2022

  DOI (Digital Object Identifier) -   

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

  E-ISSN Number - 2320-2882

  Cite this article

  Pratik Jivan Jadhav,  Ashish Anil Kambale,  Sairaj Sanjay Matkar,   "IMAGE CLASSIFICATION ANDROID APP", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.10, Issue 10, pp.d200-d203, October 2022, Available at :http://www.ijcrt.org/papers/IJCRT2210371.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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