Open AccessImage to Caption Generator
Author(s) -
Mohd Zeeshan Karan Garg and Kavita Saxena Jitesh Gupta
Publication year - 2020
Publication title -
international journal of modern trends in science and technology
Language(s) - English
Resource type - Journals
ISSN - 2455-3778
DOI - 10.46501/ijmtst061235
Subject(s) - closed captioning , computer science , generator (circuit theory) , field (mathematics) , task (project management) , artificial intelligence , image (mathematics) , deep learning , natural language processing , computer vision , power (physics) , physics , mathematics , management , quantum mechanics , pure mathematics , economics
Deep Learning is generally another field and it has caught a ton of eye since it gives more elevated level ofprecision in perceiving objects than at any other time prior. NLP is additionally one field that has made animmense effect in our life. NLP has made considerable progress from creating a lucid synopsis of the writingsto investigation of psychological sickness, it shows the effect of NLP. Image Captioning task consolidates bothNLP and Deep Learning. Depicting pictures in an important manner should be possible utilizing Imagesubtitling. Depicting a picture don't simply mean perceiving objects, to portray a picture appropriately we firstneed to recognize objects present in the picture and afterward the connection between those articles. In thisinvestigation we have utilized CNN-LSTM based system. CNN will be utilized to remove highlights of thepicture while with the assistance of LSTM we will attempt to produce important sentences. This assessmentfurthermore discusses uses of Image Captioning and huge challenges glanced in achieving this endeavour.