Workflow of Checkbox-Text Extraction
Image Input: The system receives an image containing checkboxes and text.
YOLOv8 Detection: The YOLO Checkbox Detector, based on YOLOv8-large, identifies checkboxes and marks their precise bounding coordinates within the document.
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.
Post-Processing: A post-processing module merges checkbox coordinates from YOLOv8 with text line coordinates from Tesseract, ensuring accurate checkbox-text pairing.
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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