Fine-tuning LayoutLM for Document Information Extraction

In this tutorial video, we delve into the world of LayoutLM and its fine-tuning techniques for extracting essential information from various types of documents, such as invoices, receipts, financial documents, tables, and more.

Discover how to make the most of LayoutLM Annotation Tool to annotate text, PDF, and image documents.

Resources Mentioned in the Video:
1. Notebook: https://github.com/karndeepsingh/Extract_key_information_Document_understanding 
2. Label Studio: https://labelstud.io/blog/improve-ocr-quality-for-receipt-processing-with-tesseract-and-label-studio/
3. LayoutLM Paper: https://arxiv.org/pdf/1912.13318.pdf
4. FUNSD Dataset: https://guillaumejaume.github.io/FUNSD/
5. Transformer Models for Document Layout Analysis: https://github.com/NielsRogge/Transformers-Tutorials
6. LayoutLM Preprocessing file: https://github.com/UBIAI/layout_lm_tutorial
7. Sparrow for OCR: https://github.com/katanaml/sparrow

Unlock the potential of LayoutLM and enhance your document information extraction skills with this comprehensive tutorial.