Auto Captioning of Image

Automation of caption i.e. creating the language description of an image using any natural language processing is a difficult task. It requires to have a good grip in both image processing as well as natural language processing. This Book discusses different available techniques which model for the image captioning. The advancement of technology in terms of object recognition and machine learning has very much improved the performance of the image captioning model in recent years. In addition to that we will try to approach the different techniques and algorithms to build this model. At the end, model evaluation plays an important role which will be useful to consider which algorithm suits best in the scenario. There are contain techniques that can be used to evaluate the performance such as confusion matrix, f1-score but in this case, the data is based on natural language so based on that there is a certain special type of technology that can be used such as Microsoft COCO and Flickr30K.