This paper is published in Volume-8, Issue-2, 2022
Area
AI
Author
Julu Basnet, Supriya Kumari, Mohit Rathore, Dipanshu
Org/Univ
Sharda University, Greater Noida, Uttar Pradesh, India
Pub. Date
03 May, 2022
Paper ID
V8I2-1280
Publisher
Keywords
Image Captioning, CNN, Natural Language Processing Tool, LSTM, Vgg16 Model

Citationsacebook

IEEE
Julu Basnet, Supriya Kumari, Mohit Rathore, Dipanshu. Image caption generator using CNN and LSTM, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.

APA
Julu Basnet, Supriya Kumari, Mohit Rathore, Dipanshu (2022). Image caption generator using CNN and LSTM. International Journal of Advance Research, Ideas and Innovations in Technology, 8(2) www.IJARIIT.com.

MLA
Julu Basnet, Supriya Kumari, Mohit Rathore, Dipanshu. "Image caption generator using CNN and LSTM." International Journal of Advance Research, Ideas and Innovations in Technology 8.2 (2022). www.IJARIIT.com.

Abstract

The realm of technology in the field of AI is progressing rapidly these days. Many research-based projects have been carried out and are still being carried out, thanks to this advancement. Many studies have been done in the field of AI, and image caption creation is also a component of this research that is based on deep learning. There are a variety of activities that must be completed during the image captioning process, including identifying the items in the photographs, determining their semantic link, and translating the backdrop scene into the relevant phrases. The picture's information is generated automatically in artificial intelligence, which also includes computer vision and natural language processing. In order to assess the model's fluency and accuracy, the flickr8k dataset of 8000 photographs is used to describe the images. This shows that the model is appropriately captioning the photos.