Image Caption Generating Deep Learning Model
Aishwarya Maroju, Sneha Sri Doma, Lahari Chandarlapati · Zenodo (CERN European Organization for Nuclear Research) · 2021
Image captioning is the process of generating descriptions about what is going on in the image. By the help of Image Captioning descriptions are built which explain about the images. Image Captioning is basically very much useful in many applications like analyzing large amounts of unlabeled images and finding hidden patterns for Machine Learning Applications for guiding Self driving cars and for building software that guides blind people. This Image Captioning can be done by using Deep Learning Models. With the advancement of deep learning and Natural Language Processing now it has become easy to generate captions for the given images. In this paper we will be using Neural Networks for the image captioning. Convolution Neural Network (ResNet) is used as encoder which access the image features and Recurrent Neural Network (Long Short Term Memory) is used as decoder which generates the captions for the images with the help of image features and vocabulary that is built.