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101 People - 4,538 Images Japanese Handwriting OCR Data. The text carrier is A4 paper. The dataset content includes social livelihood, entertainment, tour, sport, movie, composition and other fields. For annotation, character-level rectangular bounding box annotation and text transcription and line-level rectangular bounding box annotation and text transcription were adopted. The dataset can be used for tasks such as Japanese handwriting OCR.
This is a paid datasets for commercial use, research purpose and more. Licensed ready made datasets help jump-start AI projects.
Specifications
Data size
101 people, 4,538 images
Collecting environment
A4 paper
Device
scanner
Photographic angle
eye-level angle
Data format
the image data format is .jpg, the annotation file format is .json
Data content
including social livelihood, entertainment, tour, sport, movie, composition and other fields
Annotation content
character-level rectangular bounding box annotation and text transcription; line-level rectangular bounding box annotation and text transcription
Accuracy
the error bound of each vertex of rectangular bounding box is within 3 pixels, which is a qualified annotation, the accuracy of bounding boxes is not less than 97%; the characters transcription accuracy is not less than 97%