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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM27456

Image Captioning Bot Using Deep Learning

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM27456

Volume:

7 |

12 |

Dec 2023

Pages:

Publication Frequency:

Monthly (12 issues per year)

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Not assigned

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

RK

Rohan Kumar

SW

Shimona Wadhwa

RB

Raghav Bansal

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Abstract

In this work, we concentrate on image captioning, one type of visual recognition. The model’s goal is to create a caption for a picture. Its many uses have garnered a lot of attention within the past ten years. We are utilising deep learning techniques in our project to automatically create image captions. CNN is the encoder and RNN is the decoder for the Flick8k dataset. The ResNet model is what we are utilising to extract features. For those who are blind or visually challenged, this approach is quite helpful in creating captions for posts on social media, among other things.

KEYWORDS

Deep Learning Flickr8k CNN RNN ResNet50 Encoder-Decoder Model

Cite This Article

Rohan Kumar, Shimona Wadhwa, Raghav Bansal, "Image Captioning Bot Using Deep Learning," International Journal of Scientific Research in Engineering and Management, vol. 7, no. 12, Dec 2023.

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Publication Date

12/14/2023

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Double-Blind Peer Review

Review Rounds: 2

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

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