Document Understanding Subnet - Whitepaper 1.0
  • What is the Document Understanding Subnet?
  • Core Functionalities
    • Current Capabilities
    • Future Capabilities
  • Supporting Infrastructure
  • Operational Overview
    • Reward Mechanism
  • Technical Architecture
    • Checkbox-Text Extraction: YOLO Checkbox Detector
    • OCR Engine: Tesseract OCR
    • Workflow of Checkbox-Text Extraction
  • Internal OCR Engine Development
    • Advanced Layout Analysis
  • Advantages of Document Understanding Subnet
  • Use Cases of Document Understanding Subnet
  • Economic Model
    • Key Participants and Roles
    • Integration with Bittensor’s Economic Framework
  • Comparative Analysis
    • GPT
    • Azure Document AI
    • Google Document AI
    • AWS Document Processing
  • Strategic Opportunities
  • Integration Options
  • Roadmap
  • Links
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  1. Technical Architecture

Workflow of Checkbox-Text Extraction

  1. Image Input: The system receives an image containing checkboxes and text.

  2. YOLOv8 Detection: The YOLO Checkbox Detector, based on YOLOv8-large, identifies checkboxes and marks their precise bounding coordinates within the document.

  3. Text Extraction: The Tesseract OCR engine extracts and organizes text into lines, recording each line’s coordinates to align the text with the detected checkboxes.

  4. Post-Processing: A post-processing module merges checkbox coordinates from YOLOv8 with text line coordinates from Tesseract, ensuring accurate checkbox-text pairing.

  5. Output Generation: The system returns the processed data, with structured checkbox-text associations, ready for further analysis or JSON data structuring.

This integrated architecture, combining the high-speed, high-accuracy detection of YOLOv8 with the reliable text extraction of Tesseract OCR, enables the Document Understanding Subnet to provide superior document processing capabilities. Together, they allow the subnet to handle large volumes of document images in real-time while maintaining high standards of accuracy, efficiency, and versatility.

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Last updated 6 months ago