The english dataset consists of 21 categories, total of 2,637 printed images and 406 handwritten images, covering most commonly used scenarios in daily life, with all data labeled.
Including PPT type, document type, natural light photography, screenshots, and handwriting type.
Labeling Content
Line-level bounding box labeling and transcription for the texts
Devices:
Mobile
Accuracy Rate
The accuracy of the labeling results is 97%
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