• Yash Aggarwal
• Sidhant Arora

This study has been undertaken to build networks capable of putting words to images, that relate to both the scene and the real world, and to output clear image captions. All these tasks that we as people can do without much effort. We thought that the reader may benefit from image captioning and its applications. Largely, image captioning helps in the retrieval of images, by allowing us to sort and request pictorial or image-based content in new ways. This model can drastically help and aid the visually-impaired with subtitles or annotations in real-time. However, we think that image captioning is far more than what the current applications present and can find use in numerous fields like science, art or even economics.

CNN LSTM RNN Caption

"VISUAL IMAGE DESCRIPTION", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 4, page no.120-127, April-2019, Available :http://www.jetir.org/papers/JETIR1904C18.pdf

"VISUAL IMAGE DESCRIPTION", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 4, page no. pp120-127, April-2019, Available at : http://www.jetir.org/papers/JETIR1904C18.pdf