TEDS (all samples): 96.67TEDS-Struct: 97.88
Papers with Code · CC BY-SA 4.0
Table Recognition
Table recognition refers to the process of automatically identifying and extracting tabular structures from unstructured data sources such as text documents, images, or scanned documents. The goal of table recognition is to accurately detect the presence of tables within the data and extract their contents, including rows, columns, headers, and cell values.
개요는 각 항목의 일부입니다. 위 탭에서 전체 기록을 페이지별로 탐색할 수 있습니다.
벤치마크
Papers with Code 아카이브의 데이터셋별 기록 예시입니다. 평가 조건과 지표 방향이 검증되지 않아 순위를 의미하지 않습니다.
Dataset기록된 모델 예시MetricPaperCode
Re0
TEDS (all samples): 95.66TEDS (simple samples): 98.35TEDS (complex samples): 92.96
-
-
Habitat-Web
TEDS (all samples): 89.18TEDS (simple samples): 91.87TEDS (complex samples): 86.36
-
-
데이터셋
5개논문
TEDS (all samples): 96.53
TEDS (all samples): 88.3
TEDS (all samples): 94.6TEDS-Struct: 96.7
TEDS (all samples): 96.87
TEDS (all samples): 95.4
TEDS (all samples): 96.76
TEDS (all samples): 96.3TEDS-Struct: 97.01
TEDS (all samples): 93.7
TEDS (all samples): 90.1TEDS-Struct: 90.1
TEDS (all samples): 96.2TEDS-Struct: 97.1
TEDS-Struct: 97.5
라이브러리
Papers with Code 리더보드 row에 연결된 구현 저장소입니다.