Image captioning using deep neural architectures

Automatically creating the description of an image using any natural language sentences is a very challenging task. It requires expertise of both image processing as well as natural language processing. This paper discusses about different available models for image captioning task. We have discussed about how the advancement in the task of object recognition and machine translation has greatly improved the performance of image captioning model in recent years. In addition to that we have discussed how this model can be implemented. At the end, we have also evaluated the performance of model using standard evaluation matrices.