This is a LayoutLMv3 model fine-tuned on the FUNSD dataset for token classification tasks in document AI. It understands layout, text, and visual features to extract key information from forms and documents. The model is available on Hugging Face for developers building intelligent document processing systems.
In the Other AI space, Layoutlmv3 Finetuned Funsd takes a focused approach. It focuses on extracting structured information from scanned or digital documents with complex layouts. Layoutlmv3 Finetuned Funsd is an open-source project aimed at developers. The project is open source (Apache-2.0). It runs on the web and API.
It is developed by nielsr, and it first shipped in 2018. Development happens publicly on GitHub with 162.8k stars and 743 commits in the last 90 days. Among its 3 catalogued features are document understanding, layout analysis, and token classification.
Summary written by a language model from the project’s public pages.
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