image caption generation using deep learning
- 1. Image Caption Generation using Deep Learning An overview of our deep learning based image caption generator project. We'll dive into the key aspects and motivations behind our research.
- 2. Abstract 1 What? Development of a deep learning algorithm to generate captions for images. 2 Why? To simplify and automate the process of image captioning, making it easier for the visually impaired to engage with image-heavy content. 3 How? Using a combination of convolutional neural networks and recurrent neural networks.
- 3. Problem Statement The problem of image captioning is to automatically generate natural language descriptions of images. This task is challenging because it requires the model to understand the content of the image and generate a fluent and accurate description.
- 4. Utility of Work Assistive Technology By automating the captioning process, our work can lead to more accessible content for the visually impaired. Social Media Integration Automated image captioning can lead to more efficient post creation for social media managers. Search Engine Optimization Our algorithm can help e- commerce websites with bulk caption generation and can improve customers' search results.
- 5. Motivation behind Problem Selection Research Gap There has been a lot of work on this problem in recent years, and there are a number of different approaches that have been proposed Unprecedented Opportunities An automated image captioning system can have many benefits, including Augmented Reality, E-commerce, and assistive technology. Social Responsibility We have a social responsibility to make our research beneficial to all members of society, including visually impaired people.