Understand Website Screenshots with a Multimodal Vision Model
Blog post from Roboflow
Multimodal vision models, such as Florence-2, enable the generation of detailed image descriptions and have applications in AI agents and search indexing. This guide explains how to use Florence-2 for generating text descriptions of website screenshots, focusing on running the model on personal hardware using HuggingFace Transformers. It provides a step-by-step approach, including installing necessary dependencies, generating descriptions, and executing the model on example images. Florence-2 effectively identifies elements like website names, color schemes, and navigation contents but struggles with spatial relationships between page elements. Such models are beneficial for applications that require information retrieval without precise spatial understanding, like developing systems for searching desktop screenshots. The guide emphasizes Florence-2's potential in building information retrieval applications and offers a walkthrough for generating website screenshot descriptions, highlighting both strengths and limitations in spatial understanding.