An Artificial Intelligence-Based Review Paper Image Caption Generator

Authors

  • Vijeta Sawant, Samrudhi Mahadik, Prof. D. S. Sisodiya Department of Artificial Intelligence & Data Science, ISBM College of Engineering, Nande, Pune, India

Keywords:

Convolutional Neural Network (CNN), Recurrent Neural Network (RNN), Long Short-Term Memory (LSTM), Artificial Intelligence (AI).

Abstract

A captivating technological advancement is the image caption generator, an automated tool employing sophisticated algorithms and machine learning to provide meaningful descriptions for photographs. Functioning akin to a personal AI photographer, the generator processes the image by analyzing its elements, such as objects, people, and scenes, along with its visual content. Subsequently, it generates a caption that elucidates the picture's content based on this analysis. The primary goal of an image caption generator is to accurately convey the essence of the image while offering a concise and insightful explanation. Its utility extends to enhancing accessibility for individuals with visual impairments and efficiently organizing vast image collections. Whether you aim to explore the capabilities of this technology or add context to your images, an image caption generator presents an engaging tool for experimentation.

 

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Published

2024-01-11

How to Cite

Vijeta Sawant, Samrudhi Mahadik, Prof. D. S. Sisodiya. (2024). An Artificial Intelligence-Based Review Paper Image Caption Generator. International Journal of Research and Review Techniques, 3(1), 1–4. Retrieved from https://ijrrt.com/index.php/ijrrt/article/view/63