UGC Approved Journal no 63975(19)
New UGC Peer-Reviewed Rules

ISSN: 2349-5162 | ESTD Year : 2014
Volume 13 | Issue 4 | April 2026

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Published in:

Volume 10 Issue 12
December-2023
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

7.95 impact factor calculated by Google scholar

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Published Paper ID:
JETIR2312187


Registration ID:
527916

Page Number

b729-b733

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Title

Automatic Image Caption Generation Using Deep Learning

Abstract

An Image Caption Generator represents a sophisticated artificial intelligence system that seamlessly integrates computer vision and natural language processing, aiming to autonomously generate descriptive textual captions for images. This cutting-edge technology relies on deep learning, specifically harnessing the power of Convolutional Neural Networks (CNNs), to meticulously examine and extract salient visual features from the input image. These extracted features encompass intricate details regarding the objects, scenes, and components depicted in the image. Following this visual analysis, a natural language processing model, frequently constructed on Recurrent Neural Networks (RNNs) or Transformers, processes these intricate visual features to generate articulate and contextually relevant captions.

Key Words

Image Captioning, Deep Learning

Cite This Article

"Automatic Image Caption Generation Using Deep Learning", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 12, page no.b729-b733, December-2023, Available :http://www.jetir.org/papers/JETIR2312187.pdf

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2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"Automatic Image Caption Generation Using Deep Learning", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 12, page no. ppb729-b733, December-2023, Available at : http://www.jetir.org/papers/JETIR2312187.pdf

Publication Details

Published Paper ID: JETIR2312187
Registration ID: 527916
Published In: Volume 10 | Issue 12 | Year December-2023
DOI (Digital Object Identifier):
Page No: b729-b733
Country: Pune, Maharashtra, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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