Captioning Image Using Deep Learning Approach

Abstract

Abstract: Captioning image using deep learning is a technology that aims to generate descriptive and accurate textual descriptions for images. By using the power of deep neural networks, this approach enables computers to understand and interpret visual content bridging the gap between the visual and textual domains. The process of image captioning involves two main components: an image encoder and a language decoder. The image encoder is basically a Convolutional Neural Network (CNN) that processes the input image extracting high-level features and representations. These features capture the visual content and generating meaningful captions. The language decoder on the other hand is usually a Recurrent Neural Network (RNN), such as a long short-term memory (LSTM) network. It takes the encoded image features as input and generates a sequence of words to form the caption