MRI
MRI India Journals Vol. 7 No. 4 (2020): Volume 7 Issue 4 2020

CapsNet Based Approach to Generate Image Annotation

Authors

  • Rutuja G. Mungase
  • Sanjivani G. Shinalkar
  • Shweta S. Pagare
  • Ankita B. Pansare
  • Sandeep D. Pande

DOI:

https://doi.org/10.65521/mjret.v7i4.1137

Keywords:

Deep learning Image Captioning

Abstract

The people communicate through language, might be written or spoken. They often use this language to describe the visual world around them. Images, signs are another way of communication and understanding for the physically challenged people. The generation of descriptions from the image automatically in proper sentences is a difficult and challenging task, but it can help and have a great impact on visually impaired people for better understanding of the description of images on the web. Also, human can describe the image after having a quick knowledge about it. The important task of text summarization is selecting or generating an abstract for document. In problem of image captioning, for any image we would like to generate a caption which will describe various features of that image.

Published

2025-12-14

How to Cite

Mungase, R. G., Shinalkar, S. G., Pagare, S. S., Pansare, A. B., & Pande, S. D. (2025). CapsNet Based Approach to Generate Image Annotation. Multidisciplinary Journal of Research in Engineering and Technology, 7(4), 1–8. https://doi.org/10.65521/mjret.v7i4.1137

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