Image Caption Generator

Authors

  • Liya Ann Sunny Department of computer Application, Saintgits College of Engineering, Kottayam, India
  • Sara Susan Joseph Department of computer Application, Saintgits College of Engineering, Kottayam, India
  • Sonu Sara Geogy Department of computer Application, Saintgits College of Engineering, Kottayam, India
  • K. S. Sreelakshmi Department of computer Application, Saintgits College of Engineering, Kottayam, India
  • Abin T. Abraham Department of computer Application, Saintgits College of Engineering, Kottayam, India

Keywords:

Convolutional Neural Network, Long short term memory

Abstract

For our project involves computer vision and natural language processing concepts to recognize the context of an image and describe them in a natural language like English phrase is needed. Here we use the other concepts of a CNN and LSTM model and build a working model. We can have implemented our project using CNN (Convolutional Neural Networks) and LSTM (Long Short Term Memory). We can have extracted the project from exception which is a CNN model trained on the image net dataset. The features of LSTM is to generating the images. In our project Image Caption Generator, we use the dataset is Flickr8K. There are use few other datasets can be using in our project they are, Flickr30K and MSCOCO dataset compare to small Flickr8K dataset. The main advantage of our project is huge dataset can build better models.

 

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Published

2021-04-13

How to Cite

[1]
L. Ann Sunny, S. Susan Joseph, S. Sara Geogy, K. S. Sreelakshmi, and A. T. Abraham, “Image Caption Generator”, IJRAMT, vol. 2, no. 4, pp. 42–44, Apr. 2021.

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Section

Articles