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  Published Paper Details:

  Paper Title

IMAGE CAPTION GENERATOR

  Authors

  ANJALI BARIGELA,  GOPIDI MEGHANA REDDY,  PASHIKANTI SHIVANI,  Varkala Satheesh Kumar,  Bejjam Vasundhara Devi

  Keywords

CNN, LSTM, RNN

  Abstract


Creating a caption for an image is the aim of the project. Making a description for an image is called photograph captioning. It demands an understanding of the crucial elements, as well as their traits and interrelationships. The elements of an image We can now develop models that can forecast the future since deep learning techniques have advanced and massive datasets and computer power are now readily available. Construct captions for a photo. This is what we did in our Python-based research using CNN (convolutional neural networks), a form of the neural network, and LSTM (long short-term memory), another type of neural network. combining many RNN (Recurrent Neural Network) classes to enable computer vision A photograph can be shown in the appropriate context by a computer after being recognized by that context.

  IJCRT's Publication Details

  Unique Identification Number - IJCRT2305791

  Paper ID - 236917

  Page Number(s) - g487-g490

  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

  ANJALI BARIGELA,  GOPIDI MEGHANA REDDY,  PASHIKANTI SHIVANI,  Varkala Satheesh Kumar,  Bejjam Vasundhara Devi,   "IMAGE CAPTION GENERATOR", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.11, Issue 5, pp.g487-g490, May 2023, Available at :http://www.ijcrt.org/papers/IJCRT2305791.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
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