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2,504 Images – Chinese Handwriting OCR Data
Chinese
Handwriting
OCR
A4 paper
square paper
lined paper
white board
color note
poetry
prose
store activity notices
greetings
wish lists
excerpts
poetry
prose
store activity notices
greetings
wish lists
excerpts
looking up angle
eye-level angle
2,504 Images – Chinese Handwriting OCR Data. The writing environment includes A4 paper, square paper, lined paper, white board, color note, answer sheet, etc. The writing contents include poetry, prose, store activity notices, greetings, wish lists, excerpts,composition, notes, etc. The data diversity includes multiple writing papers, multiple fonts, multiple writing contents, multiple photographic angles. The collecting angeles are looking up angle and eye-level angle. For annotation, line-level/column-level quadrilateral bounding box annotation and transcription for the texts were annotated in the data. The dataset can be used for tasks such as Chinese 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
2,504 images, 86,484 quadrilateral bounding boxes
Collecting environment
A4 paper, square paper, lined paper, white board, color note, answer sheet,etc.
Writing content
poetry, prose, store activity notices, greetings, wish lists, excerpts,composition, notes,etc.
Writing type
horizontal writing, vertical writing
Data diversity
including multiple writing papers, multiple fonts, multiple writing contents, multiple photographic angles
Photographic angle
looking up angle, eye-level angle
Data format
the image data format is .jpg, the annotation data format is .json
Annotation content
different types of Chinese handwritten data were collected
Annotation content
line-level/column-level quadrilateral bounding box annotation and transcription for the texts
Accuracy rate
the error bound of each vertex of quadrilateral bounding box is within 5 pixels, which is a qualified annotation, the accuracy of bounding boxes is not less than 95%; the texts transcription accuracy is not less than 95%
Sample
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