Image Caption Generator

Image Caption Generator

Registration ID: IJNRD_185847

Published ID: IJNRD2301107

DOI: Click Here to Get

Gursha Gosal , Gaurav Chadha , Priya Jha , Rudransh Singh Mahra , Megha Kumar

image caption, artificial intelligence, CNN, LSTM

Image caption generation has been an area of great interest for researchers in artificial intelligence. Artificial intelligence has played a key importance driving the enhancement of latest technologies and is expected to continue doing so in the future. Image captioning involves creating a written description of an image by identifying the objects, their characteristics, and the relationships between them in the image. It then generates the caption based on this information. In this research, we explore different image caption generation models based on deep neural networks. We focus on various feature extraction and encoder models, and evaluate their performance using the Flickr30K dataset, which contains 31783 images. We also apply these models to generate captions for real-time images and compare their accuracy and effectiveness. The aim of this research is to check the deep learning models and image processing techniques for identifying objects in an image, understanding the relationships between these objects and generating corresponding captions. This is a rapidly expanding area of study in the world of computer vision with numerous advanced applications, such as self-driving vehicles, e-signatures, and assistive technology for the visually impaired.

Published Paper   E-Certificate

"Image Caption Generator", IJNRD - INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (www.IJNRD.org), ISSN:2456-4184, Vol.8, Issue 1, page no.b50-b54, January-2023, Available :https://ijnrd.org/papers/IJNRD2301107.pdf

Volume 8 Issue 1, January-2023

Pages : b50-b54

Paper Reg. ID: IJNRD_185847

Published Paper Id: IJNRD2301107

Downloads: 000121187

Research Area: Computer Science & Technology 

Country: NEW DELHI, DELHI, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2301107.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2301107

Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)

ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Publisher: IJNRD (IJ Publication) Janvi Wave

This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition

Call For Paper - Volume 10 | Issue 8 | August 2025

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