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Pix2struct Widget Captioning Large

Developed by google
Pix2Struct is an image encoder-text decoder model designed for visual language understanding, supporting tasks such as image captioning and visual question answering.
Downloads 40
Release Time : 3/10/2023

Model Overview

The model is trained by processing diverse image-text paired data, specifically fine-tuned for screen interface component annotation tasks, capable of parsing visual elements like webpage screenshots and generating corresponding descriptions.

Model Features

Multi-domain visual language understanding
The model performs excellently in four domains: documents, illustrations, user interfaces, and natural images
Variable resolution input
Supports flexible processing of input images with different resolutions
Direct prompt rendering
Can directly render language prompts on input images for more flexible visual-language integration

Model Capabilities

Image caption generation
Visual question answering
Screen interface component recognition
Multilingual visual understanding

Use Cases

User interface analysis
Web component annotation
Automatically identifies and describes various interface elements in webpage screenshots
Can generate HTML structures or natural language descriptions
Educational assistance
Illustrated textbook understanding
Parses diagrams and illustrations in textbooks and generates descriptions
Helps students understand complex visual content
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