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. This paper focuses on developing an image captioning system using deep learning techniques. The paper aims to generate descriptive textual captions for images, enabling machines to understand and communicate the content of visual data. The methodology involves leveraging convolutional neural networks (CNNs) for image feature extraction and recurrent neural networks (RNNs) for sequential language generation. Captioning images is a challenging task in computer vision that involves describing the content of an image in natural language. In recent years, deep learning techniques have shown remarkable success in various computer vision tasks, including image captioning.
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