Image Caption Generator Using Deep Neural Networks

In this era, image captioning has become one of the foremost wide needed tools. Moreover, there are intrinsic applications that generate and supply a caption for a particular image, all these things are done with the assistance of deep neural network models. The method of generating a description of an image is termed image captioning. It needs recognizing the important objects, their attributes, and therefore the relationships among the objects in a picture. It generates syntactically and semantically correct sentences. In this paper, we tend to present a deep learning model to describe an image and generate captions using computer vision and machine translation. So, we consistently analyze deep neural networks based mostly on image caption generation methodology. With a picture because of the input, the tactic will output an English sentence describing the content within the image. We analyze 3 elements of the method: convolutional neural network (CNN), recurrent neural network (RNN) and sentence generation. Initially, the input image is born-again to a grayscale image that's processed through the Convolution Neural Network (CNN) to properly determine the objects. Objects within the image area unit are properly identified, that is then converted to text messages.