Character Error Rate (CER): 0.2378Word Error Rate (WER): 0.5117Average Accuracy: 76.22
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Optical Character Recognition (OCR)
Optical Character Recognition or Optical Character Reader (OCR) is the electronic or mechanical conversion of images of typed, handwritten or printed text into machine-encoded text, whether from a scanned document, a photo of a document, a scene-photo (for example the text on signs and billboards in a landscape photo, license plates in cars...) or from subtitle text superimposed on an image (for example: from a television broadcast)
개요는 각 항목의 일부입니다. 위 탭에서 전체 기록을 페이지별로 탐색할 수 있습니다.
벤치마크
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데이터셋
30개논문
BLEU: 88.86%
Character Error Rate (CER): 0.083
Sequence error: 15.8
Sequence error: 27.54
Sequence error: 22
라이브러리
Papers with Code 리더보드 row에 연결된 구현 저장소입니다.
하위 태스크
HT
Handwritten Text Recognition
AL
Active Learning
HR
Handwriting Recognition
HD
Handwritten Digit Recognition
GD
Grapheme Detection
HC
Handwritten Chinese Text Recognition
HD
Handwritten Digit Image Synthesis
IT
Irregular Text Recognition
OH
Offline Handwritten Chinese Character Recognition
WS
Word Spotting In Handwritten Documents