UDOP-Large
| Property | Value |
|---|---|
| Parameter Count | 742M |
| License | MIT |
| Authors | Microsoft |
| Paper | View Paper |
What is udop-large?
UDOP-large is a sophisticated document processing model developed by Microsoft that unifies vision, text, and layout understanding. Built on the T5 architecture, this 742M parameter model represents a significant advancement in universal document processing, capable of handling multiple document AI tasks through a single unified approach.
Implementation Details
The model implements an encoder-decoder Transformer architecture based on T5, specifically designed for document processing tasks. It processes both visual and textual information, utilizing OCR capabilities for text extraction and spatial understanding.
- Encoder-decoder architecture based on T5
- Supports both visual and textual inputs
- Processes document layout and structural information
- Integrates with Hugging Face's transformers library
Core Capabilities
- Document image classification
- Document parsing and structure analysis
- Document visual question answering (DocVQA)
- Integration of spatial and textual information
- OCR text processing and understanding
Frequently Asked Questions
Q: What makes this model unique?
UDOP-large's uniqueness lies in its ability to process documents holistically, considering text, vision, and layout simultaneously. This unified approach allows it to handle complex document understanding tasks that traditionally required multiple specialized models.
Q: What are the recommended use cases?
The model is particularly well-suited for enterprise document processing tasks, including form understanding, document classification, and automated question answering about document contents. It's especially valuable for applications requiring both visual and textual understanding of documents.
