International Journal For Multidisciplinary Research
E-ISSN: 2582-2160
•
Impact Factor: 9.24
A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal
Home
Research Paper
Submit Research Paper
Publication Guidelines
Publication Charges
Upload Documents
Track Status / Pay Fees / Download Publication Certi.
Editors & Reviewers
View All
Join as a Reviewer
Get Membership Certificate
Current Issue
Publication Archive
Conference
Publishing Conf. with IJFMR
Upcoming Conference(s) ↓
SJC-2026
Conferences Published ↓
AIMAR-2025
SVGASCA-2025
ICCE-2025
ICMESS-24
Chinai-2023
PIPRDA-2023
ICMRS'23
ICCAIoT23
Contact Us
Plagiarism is checked by the leading plagiarism checker
Call for Paper
Volume 8 Issue 1
January-February 2026
Indexing Partners
Image Captioning Using Deep Learning
| Author(s) | Sanjana Annamaneni, Naveen Kumar, Kiran Noolvi, Sai Krishna |
|---|---|
| Country | United States |
| Abstract | Image Captioning implies automatically describing the contents of an image, this field of research is gaining attention as it stands as a fundamental problem in the field of Machine Learning. In this project, we have proposed and developed a model that helps to solve this problem by automatically predicting captions for a given image. Our model implements search algorithms like beam search and argument-max search for automatically generating the captions for images. We have evaluated the correctness of generating captioning by using BLEU Score and have achieved an average score of 54.55. |
| Keywords | Image Captioning, Deep Neural Networks, Word-embedding, Convolution Neural Networks, LSTM, Search Algorithms, Flickr8K dataset |
| Field | Engineering |
| Published In | Volume 2, Issue 5, September-October 2020 |
| Published On | 2020-10-07 |
Share this

E-ISSN 2582-2160
CrossRef DOI is assigned to each research paper published in our journal.
IJFMR DOI prefix is
10.36948/ijfmr
Downloads
All research papers published on this website are licensed under Creative Commons Attribution-ShareAlike 4.0 International License, and all rights belong to their respective authors/researchers.