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Pix2struct Docvqa Base

Developed by google
Pix2Struct is an image encoder-text decoder model trained on image-text pairs, supporting various tasks including image captioning and visual question answering.
Downloads 8,601
Release Time : 3/21/2023

Model Overview

Pix2Struct is a pure vision-language pretrained image-to-text model that can be fine-tuned for tasks involving visual language understanding. The model is pretrained by parsing webpage screenshot masks into simplified HTML, supporting OCR, language modeling, image captioning, and more.

Model Features

Multi-task Support
Supports various vision-language tasks including image captioning and visual question answering.
Cross-domain Capability
Excels in four domains: documents, illustrations, user interfaces, and natural images.
Flexible Input Integration
Language prompts can be directly rendered on input images for more flexible vision-language integration.

Model Capabilities

Image Understanding
Text Generation
Visual Question Answering
OCR Recognition
Cross-modal Understanding

Use Cases

Document Processing
Scanned Document Q&A
Extract information from scanned documents and answer questions
Achieves state-of-the-art performance in document visual question answering tasks
Webpage Understanding
Webpage Content Parsing
Understand content and structure from webpage screenshots
Efficient understanding through HTML structure parsing
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