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Yolov8
A YOLOv8-based object detection model specialized in extracting structured information from documents such as invoices and receipts.
Downloads 68
Release Time : 1/9/2024
Model Overview
This model, based on the YOLOv8 architecture, focuses on detecting and extracting key field information from document images, such as customer details, invoice numbers, and amounts. Suitable for document digitization and information extraction tasks.
Model Features
Document Field Detection
Accurately detects 15 key fields in documents, including customer information, invoice numbers, amounts, etc.
Efficient Processing
Based on the YOLOv8 architecture, it provides fast document processing capabilities, suitable for batch document analysis.
Structured Output
Detection results can be directly used for document digitization and information extraction workflows.
Model Capabilities
Document Image Analysis
Key Field Detection
Structured Information Extraction
Invoice Information Recognition
Use Cases
Financial Automation
Invoice Information Extraction
Automatically extracts key data such as customer information, amounts, and tax IDs from invoice images.
Reduces manual entry and improves financial processing efficiency.
Document Digitization
Document Information Structuring
Converts unstructured information from paper documents into structured data.
Facilitates data storage, retrieval, and analysis.
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