IMAGE CAPTIONING USING CONVOLUTIONAL NEURAL NETWORKS AND RECURRENT NEURAL NETWORK

Authors:

Devabattula Manikanta, Dr.V.Bhaskar Murthy

Page No: 570-575

Abstract:

Image captioning is the process of generating an accurate textual description of a given image using computer vision and natural language processing. This is achieved through deep learning techniques, specifically Convolutional Neural Networks (CNNs) for feature extraction and Recurrent Neural Networks (RNNs) for text generation. The implementation utilizes the Flickr8k dataset, where CNNs extract visual features from images, and RNNs generate meaningful captions.

Description:

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Volume & Issue

Volume-14,Issue-4

Keywords

Keywords: Convolutional Neural Network (CNN), Recurrent Neural Network (RNN), Natural Language Processing (NLP), Computer Vision, ResNet, Long Short-Term Memory (LSTM).

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