Table Recognition

Table recognition refers to the automatic detection and extraction of table structures from unstructured data sources such as text documents, images, or scanned files. Its goal is to accurately identify tables within the data and extract their contents, including rows, columns, headers, and cell values. This technology has significant application value in the field of computer vision and can effectively enhance the efficiency and accuracy of data processing and information extraction.