Image Captioning using Deep Learning Model for Visually Impaired Person

Author(s)	SHAILESH SHIVAJI PATIL, PREMAL J PATEL
Country	India
Abstract	This research presents a new method for captioning images with the goal of improving accessibility for those with visual impairments. The process of creating descriptive text for photos is called image captioning, and it is essential for communicating the actions taken in the scene as well as the attributes of the objects. The two main tasks of the suggested approach are action identification and object recognition. The model use deep learning techniques to precisely identify items and properties in the image. It then associates these objects with relevant verbs to emphasize actions. The resultant captions offer thorough explanations of the picture content, promoting increased inclusivity and accessibility for people with visual impairments.
Keywords	Deep Learning, CNN, RNN, LSTM, Image Processing.
Field	Computer Applications
Published In	Volume 6, Issue 2, March-April 2024
Published On	2024-04-25
Cite This	Image Captioning using Deep Learning Model for Visually Impaired Person - SHAILESH SHIVAJI PATIL, PREMAL J PATEL - IJFMR Volume 6, Issue 2, March-April 2024. DOI 10.36948/ijfmr.2024.v06i02.18482
DOI	https://doi.org/10.36948/ijfmr.2024.v06i02.18482
Short DOI	https://doi.org/gtsg5f

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