Generating Image Description Using Machine Learning Algorithms
Khushboo Agnihotri, Pujyalakshmi Chilbule, Shiv Prashant, Priyanshu Jain, Prashant Khobragade
Abstract
In the contemporary world, captions are one of the most essential tools. There are also integrated programmes that use deep neural network models to create and provide captions for particular photographs. This article compares deep learning models that create captions and explain images translation using machine mechanism, machine learning algorithms and computer vision. The projected work recognize and identify several things in an image and their relationships in order to produce captions. For the purpose of illustrating the suggested experiment, Flickr8k is the dataset, Python3 is the programming language, and ResNet, Xception, and Inception are utilised to create the model. This study also identifies the model that yields the best outcomes on the dataset being used. Natural language processing and machine vision both heavily rely on caption generation. To generate the caption of image Encode and decoder model of LSTM with CNN machine learning algorithm is used for correct caption of Images.