Real Time Image Captaioning | Zendy

G. Ramesh | Zendy; R Sumanth | Zendy; A. China Venkat Chowdary | Zendy; A. Shashank | Zendy; T. Sravan | Zendy

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Real Time Image Captaioning

Author(s) -

G. Ramesh,

R Sumanth,

A. China Venkat Chowdary,

A. Shashank,

T. Sravan

Publication year - 2020

Publication title -

international journal of innovative technology and exploring engineering

Language(s) - English

Resource type - Journals

ISSN - 2278-3075

DOI - 10.35940/ijitee.f4566.049620

Subject(s) - computer science , artificial intelligence , generator (circuit theory) , image (mathematics) , transfer of learning , recurrent neural network , machine learning , pattern recognition (psychology) , computer vision , artificial neural network , power (physics) , physics , quantum mechanics

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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