Google AI Introduces Visually Rich Document Understanding
Google AI recently introduced Visually Rich Document Understanding (VRDU), a new dataset and benchmark for evaluating the performance of document understanding models on visually rich documents.
VRDU contains two datasets of invoices and forms, each with over 10,000 documents. The documents in VRDU are visually complex, with a variety of layouts, tables, and graphics.
The VRDU benchmark measures the performance of document understanding models on a variety of tasks, including:
Identifying and extracting entities such as names, addresses, and dates from documents.
Entity extraction
Identifying and extracting relationships between entities, such as "is paid by" or "is located at".
Relation extraction
Extracting the structure and content of tables from documents.
Table understanding
The VRDU benchmark is a valuable resource for researchers and developers who are working on document understanding. It can be used to evaluate the performance of new models and to compare the performance of different models.
– It is a large and diverse dataset of visually rich documents.– It covers a variety of document understanding tasks.– It is a well-defined benchmark that is easy to use.– It is publicly available, so it can be used by anyone.
Here are some of the benefits of using VRDU:
If you are interested in document understanding, I encourage you to check out the VRDU dataset and benchmark. It is a valuable resource that can help you to improve the performance of your document understanding models.