P

Pix2struct Infographics Vqa Base

Developed by google
Pix2Struct is a vision-language understanding model pretrained for image-to-text conversion tasks, specifically optimized for high-resolution infographic visual question answering.
Downloads 74
Release Time : 3/21/2023

Model Overview

Pix2Struct is an image encoder-text decoder model pretrained by parsing webpage screenshot masks into simplified HTML, suitable for various tasks including image captioning and visual question answering.

Model Features

Multi-Domain Adaptability
Achieves state-of-the-art performance in six out of nine tasks across four domains: documents, illustrations, user interfaces, and natural images
Innovative Pretraining Strategy
Pretrained by parsing webpage screenshot masks into simplified HTML, incorporating signals from OCR, language modeling, image captioning, etc.
Flexible Input Integration
Supports variable-resolution input representation with language prompts directly renderable on input images

Model Capabilities

Visual Question Answering
Image Captioning
Infographic Understanding
Multilingual Support

Use Cases

Education
Textbook Illustration QA
Answering complex questions based on textbook illustrations
Excellent performance in infographic understanding tasks
Web Content Understanding
Web Element Parsing
Understanding tables, buttons and other elements in webpage screenshots
Efficient comprehension through HTML structure parsing
Featured Recommended AI Models
AIbase
Empowering the Future, Your AI Solution Knowledge Base
© 2025AIbase