Image Annotation Generation using Deep-Learning

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Piyush Navarkar, P. G. Chilveri, Tarun Nambiar, Meghraj Nale, A. B. Chandgude


The paper tends to aim at creating automated captions by learning the contents of the image. Nowadays images are interpreted with human interference and it becomes a nearly unbearable task for enormous commercial records. The image recordsare given as input to a Convolutional Neural Network (CNN)) encoder for generating “thought vector” which extracts the features and enhances objects out of our image and RNN decoder (as a “Long Short-Term Memory”) is used to translate the features given by our image to obtain a sequential, meaningful description of the image. In this paper, we are going to explain the survey about image captioning and our proposed system.

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