Real Time Image Captaioning

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Abstract

Image caption generator means it will generate a description for the images. It will predict what is happing in the images. We make our model using a hybrid CNN-RNN model in which in the CNN part of the model we use inception model for transfer learning and RNN is majorly used for language modeling. We use Flickr8k Dataset for training and testing the model. We use LSTM model in RNN to avoid the problem of vanishing or exploding gradient in the training phase.

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Sumanth*, A. G., R. Hema … Sravan, T. (2020). Real Time Image Captaioning. International Journal of Innovative Technology and Exploring Engineering, 9(6), 1707–1709. https://doi.org/10.35940/ijitee.f4566.049620

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