Image-Captioning

AI driven system that describes the Image features using deep neaural networks like RNN/LSTM and using NLP process the text.

Image-Captioning

Dataset


Open in Jupyter(NOTEBOOK LINK)


The goal of image captioning is to convert a given input image into a natural language description.

The objective of our project is to learn the concepts of a CNN and LSTM model and build a working model of Image caption generator by implementing CNN with LSTM.​ The task of image captioning can be divided into two modules logically .​

​at one place which covers all topics in AI and it uses module Tensorflow which is provided by Google.​ ​

The other best thing is its use, that is so helpful to visually impaired people that it can let them to know what they are seeing.​ ​ —————————————————————————————————————

### Real time usage​

RESULTS