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  Published Paper Details:

  Paper Title

IMAGE CAPTION GENERATOR USING MACHINE LEARNING AND CNN

  Authors

  Nishant Dabhade,  Sachin Gaund,  Utsav Chaudhary,  Omkar Govardhane,  Nisha Patil

  Keywords

Machine Learning,VGG16,CNN

  Abstract


The paper basically describes about the anomaly of demonstrating the mathematical methods and the algorithm required for their recognition. With having the straight intent of new and advance algorithm for the identification of various images and heterogenous data processing. This paper mainly focuses on image caption generator, in simple terms it is a data generator by using the input as an image. This paper consists of different approaches to a straight-line pattern sentence formation using different machine learning techniques. Several machine learning algorithms like Multiplayer Perception, Support Vector Machine, Convolutional Neural Network, and many more. The main purpose or the main objective of the following paper is that how the simple image having a content gets converted into the simple English sentence which can be readable to any of the simple English learner. The paper shows how different algorithm shows different output with different accuracy.

  IJCRT's Publication Details

  Unique Identification Number - IJCRT2106784

  Paper ID - 209304

  Page Number(s) - g556-g561

  Pubished in - Volume 9 | Issue 6 | June 2021

  DOI (Digital Object Identifier) -    http://doi.one/10.1729/Journal.27551

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

  E-ISSN Number - 2320-2882

  Cite this article

  Nishant Dabhade,  Sachin Gaund,  Utsav Chaudhary,  Omkar Govardhane,  Nisha Patil,   "IMAGE CAPTION GENERATOR USING MACHINE LEARNING AND CNN", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.9, Issue 6, pp.g556-g561, June 2021, Available at :http://www.ijcrt.org/papers/IJCRT2106784.pdf

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


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