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Hierarchical Text Segmentation

태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.

하위 태스크
0
평가표
1
보존된 평가 기록
1

Segment strokes, words, text-lines, paragraphs (layout analysis) in images within a unified framework

데이터셋

출처에 같은 태스크 이름으로 연결된 데이터셋입니다. 동명 태스크가 포함될 수 있으므로, 비교할 때는 평가 결과의 조건도 확인하세요.

HierText

HierText is the first dataset featuring hierarchical annotations of text in natural scenes and documents. The dataset contains 11639 images selected from the Open Images dataset, providing high quality word (~1.2M), line, and paragraph level annotations. Text lines are defined as connected sequences of words that are aligned in spatial proximity and are logically connected. Text lines that belong to the same semantic topic and are geometrically coherent form paragraphs. Images in HierText are rich in text, with average of more than 100 words per image.

출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.