Author(s) :

Lijo B Vijay , Gini R

Conference Name :

International Conference on scientific innovations in Science, Technology, and Management (NGCESl-2023)

Abstract :

In Artificial Intelligence (AI), the contents of an image are generated automatically which involves computer vision and NLP (Natural Language Processing). The neural model which is regenerative, is created. It depends on computer vision and machine translation. This model is used to generate natural sentences which eventually describes the image. This model consists of Convolutional Neural Network (CNN) as well as Recurrent Neural Network (RNN). The CNN is used for feature extraction from image and RNN is used for sentence generation. The model is trained in such a way that if input image is given to model it generates captions which nearly describes the image. The accuracy of model and smoothness or command of language model learns from image descriptions is tested on different datasets. These experiments show that model is frequently giving accurate descriptions for an input image. In this paper investigating various methods used in the existing work for the image caption generation recognition system.

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