OCR

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Arabic Natural Scene OCR Image Corpus
This dataset consists of 9 categories and a total of 12852 printed images, covering most commonly encountered scenarios in daily life. The data was collected in Saudi Arabia, and all the images in the dataset include labeling results.
Arabic OCR Image Corpus
This dataset consists of 10 categories and a total of 5005 printed images, covering most commonly encountered scenarios in daily life. The data was collected in Saudi Arabia, and all the images in the dataset include labeling results.
Armenian OCR Image Corpus
This dataset consists of 10 categories and a total of 2001 printed images, covering most commonly encountered scenarios in daily life. The data was collected in Armenia, and all the images in the dataset include labeling results.
Azerbaijani OCR Image Corpus
This dataset consists of 10 categories and a total of 500 printed images, covering most commonly encountered scenarios in daily life. The data was collected in Azerbaijan, and all the images in the dataset include labeling results.
Burmese OCR Image Corpus
This dataset consists of 11 categories and a total of 2002 printed images, covering most commonly encountered scenarios in daily life. The data was collected in Myanmar, and all the images in the dataset include labeling results.
Chinese License Plates Image Corpus
This dataset consists of chinese license plate data, total of 104,400 images, covering 31 provinces.
Chinese OCR Corpus
The chinese dataset consists of 26 categories, total of 4,408 printed images and 510 handwritten images, covering most commonly used scenarios in daily life, with all data labeled.
Chinese OCR Image Corpus (multi-angles)
This dataset consists of chinese menu and road sign data, each menu/road sign photographed from 5 angles, total of 7,005 sets of menus, 3,033 sets of road signs, total of 50,190 images.
Chinese OCR Image Corpus (one angle)
This dataset consists of chinese menu, street signs, shop names, packaging, book covers, comprehensive books, etc., taken in mainland china, total of 17,070 images, with 6,042 images labeled.

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