Web Screenshots

Web screenshots are increasingly used as input for various AI tasks, shifting the focus from traditional text-based approaches to multimodal processing. Current research emphasizes leveraging large language models (LLMs) and convolutional neural networks (CNNs) to analyze screenshots for diverse applications, including automated UI code generation, image-based music creation, and personalized recommendations. This interdisciplinary field is advancing rapidly, with a growing emphasis on creating high-quality datasets and developing robust methods to address challenges like bias and ambiguity in image interpretation, ultimately impacting fields like web development, digital asset management, and even mental health assessment.