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© 2026 IJSREM – International Journal of Scientific Research in Engineering and Management. This is an open-access journal. Articles are published under the Creative Commons Attribution (CC BY 4.0) License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:10.55041/IJSREM31255

Detection and Caption Generation of Image Using Deep Learning

Stream/Area:

-

Subject:

-

Paper ID:

10.55041/IJSREM31255

Volume:

8 |

4 |

Apr 2024

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM31255

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

JM

Jivan Mate

JP

Jaykumar Patil

NW

Nikita Waghmare

OP

Omkar Pawar

M

Mrs.Y.N.Sakhare

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Abstract

In this research paper, we employ a combination of CNN and LSTM to tackle image caption generation, a task at the intersection of natural language processing and computer vision. We meticulously discuss key concepts in photograph captioning and its methodologies, leveraging resources like the Keras library, numpy, and Jupyter notebooks. Our research also delves into the flickr_dataset and CNN for photo classification, aiming to shed light on the intricate processes underlying image understanding and caption generation.

KEYWORDS

CNN LSTM Image captioning Deep Learning.

Cite This Article

Jivan Mate, Jaykumar Patil, Nikita Waghmare, Omkar Pawar, Mrs.Y.N.Sakhare, "Detection and Caption Generation of Image Using Deep Learning," International Journal of Scientific Research in Engineering and Management, vol. 8, no. 4, Apr 2024. https://doi.org/10.55041/IJSREM31255

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Publication Date

12/31/45404

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Review Rounds: 2

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The authors declare no conflict of interest related to this research work.

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