Image Caption Generator Using Deep Learning
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Published:2022-10-31
Issue:10
Volume:10
Page:621-626
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ISSN:2321-9653
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Container-title:International Journal for Research in Applied Science and Engineering Technology
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language:
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Short-container-title:IJRASET
Author:
Kabra Palak,Gharat Mihir,Jha Dhiraj,Sangle Shailesh
Abstract
Abstract: Nowadays, an image caption generator has become the need of the hour, be it for social media enthusiasts or visually impaired people. It can be used as a plugin in currently trending social media platforms to recommend suitable captions for people to attach to their post or can be used by visually impaired people to understand the image content on the web thus eradicating any ambiguity in image meaning in turn also free of any discrepancy in knowledge acquisition. The proposed paper aims to generate a description of an image also called as image captioning, using CNN-LSTM architecture such that CNN layers will help in extraction of the input data and LSTM will extract relevant information throughout the processing of input such that the current word acts as an input for the prediction of the next word. The programming language used will be Python 3 and machine learning techniques. This paper will also elaborate on the functions and structure of the various Neural networks involved.
Publisher
International Journal for Research in Applied Science and Engineering Technology (IJRASET)
Subject
General Earth and Planetary Sciences,General Environmental Science
Cited by
2 articles.
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1. Instagram Post Caption Recommendation Engine;2023 14th International Conference on Computing Communication and Networking Technologies (ICCCNT);2023-07-06
2. Image Caption Generation using CNN-GRU Approach;2023 International Conference on Applied Intelligence and Sustainable Computing (ICAISC);2023-06-16