en

Please fill in your name

Mobile phone format error

Please enter the telephone

Please enter your company name

Please enter your company email

Please enter the data requirement

Successful submission! Thank you for your support.

Format error, Please fill in again

Confirm

The data requirement cannot be less than 5 words and cannot be pure numbers

105,941 Images Natural Scenes OCR Data of 12 Languages

Japanese
Korean
Indonesian
Malay
Vietnamese
Thai
French
German
Italian
Portuguese
Russian
Spanish
OCR
natural scenes
multiple photographic angles
line-level quadrilateral bounding box annotation and transcription for the texts

105,941 Images Natural Scenes OCR Data of 12 Languages. The data covers 12 languages (6 Asian languages, 6 European languages), multiple natural scenes, multiple photographic angles. For annotation, line-level quadrilateral bounding box annotation and transcription for the texts were annotated in the data. The data can be used for tasks such as OCR of multi-language.

Paid Datasets
This is a paid datasets for commercial use, research purpose and more. Licensed ready made datasets help jump-start AI projects.
SpecificationsSpecifications
Data size
105,941 images, including Asian language family: Japanese 9,997 images, Korean 10,231 images, Indonesian 7,591 images, Malay 5,650 images, Vietnamese 8,822 images, Thai 9,645 images; European language family: French 10,015 images, German 7,213 images, Italian 8,824 images, Portuguese 7,754 images, Russian 10,376 images and Spanish 9,823 images
Collecting environment
including shop plaque, stop board, poster, ticket, road sign, comic, cover picture, prompt/reminder, warning, packing instruction, menu, building sign, etc.
Diversity
including 12 languages, multiple natural scenes, multiple photographic angles (looking up angle, looking down angle, eye-level angle)
Device
cellphone, camera
Image parameter
the image data format is .jpg, and the annotation file data format is .json
Annotation content
line-level quadrilateral bounding box annotation and transcription for the texts
Accuracy
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 97%; the texts transcription accuracy is not less than 97%
Sample Sample
  • 105,941 Images Natural Scenes OCR Data of 12 Languages
  • 105,941 Images Natural Scenes OCR Data of 12 Languages
  • 105,941 Images Natural Scenes OCR Data of 12 Languages
Recommended DatasetsRecommended Dataset
104,320 Images - Korean and Hindi OCR Data in Natural Scenes

104,320 Images - Korean and Hindi OCR Data in Natural Scenes. The collecting scenes of this dataset include packaging, posters, tickets, reminders, menus, building signs, etc.. The data diversity includes multiple scenes, multiple shooting angles and multiple light conditions. For annotation, line-level polygon bounding box (or tetragon bounding box, rectangle bounding box) annotation, transcription and text attributes (language type) for the texts; vertical-level polygon bounding box (or tetragon bounding box, rectangle bounding box) annotation, transcription and text attributes (language type) for the text. The dataset can be used for Korean and Hindi OCR tasks in natural scenes.

Korean Hindi OCR Data Natural Scene OCR Transliteration Data
57,645 Images - Vertical OCR Data in Text Scenes

57,645 Images - Vertical OCR Data in Text Scenes. The collecting scenes of this dataset include street scenes, plaques, billboards, posters, decorations, art lettering, magazine covers etc. The language distribution includes Chinese and a few English. In this dataset, vertical -level rectangular bounding box (polygonal bounding box, parallelogram bounding box) annotation and transcription for the texts; non-vertical rectangular bounding box (polygonal bounding box, parallelogram bounding box) annotation and transcription for the texts. This dataset can be used for tasks such as multiple vertical text scenes OCR.

Vertical text scene OCR data OCR image data OCR data OCR data set OCR annotation OCR acquisition OCR data processing OCR rewriting data
262 People - 5,162 Images Handwriting OCR Data of Traditional Chinese Characters (Taiwan, China)

262 People - 5,162 Images Handwriting OCR Data of Traditional Chinese Characters (Taiwan, China). Texts in the data were annotated for the line-level quadrilateral bounding box. The handwriting ocr data can be used for traditional Chinese characters recognition application.The accuracy of line-level annotation and transcription is >= 97%.

Handwriting OCR eye-level angle line-level quadrilateral bounding box annotation and transcription for the texts traditional Chinese characters (Taiwan China) chinese ocr handwriting ocr ocr chinese OCR Training dataset Optical character recognition TextOCR Dataset Reading everyday scenes standard Chinese character Handprint Applicationrn
4,995 Vietnamese OCR Images Data - Images with Annotation and Transcription

4,995 Vietnamese OCR Images Data - Images with Annotation and Transcription. The data includes 258 images of natural scenes, 2,553 Internet images, 2,184 document images. For line-level content annotation, line-level quadrilateral bounding box annotation and test transcription was adpoted; for column-level content annotation, column-level quadrilateral bounding box annotation and text transcription was adpoted. The data can be used for tasks such as Vietnamese recognition in multiple scenes.

Vietnamese OCR document images Internet images natural scenes multiple angles different light conditions quadrilateral bounding box annotation line-level transcription for the texts column-level transcription for the texts
3,506 Hindi OCR Images Data - Images with Annotation and Transcription

3,506 Hindi OCR Images Data - Images with Annotation and Transcription. The data includes 2,056 images of natural scenes, 1,103 Internet images and 347 document images. For line-level content annotation, line-level quadrilateral bounding box annotation and test transcription was adpoted; for column-level content annotation, column-level quadrilateral bounding box annotation and text transcription was adpoted. The data can be used for tasks such as Hindi character recognition in multiple scenes.

Hindi OCR document images Internet images natural scenes multiple angles different light conditions quadrilateral bounding box annotation line-level transcription for the texts column-level transcription for the texts
14,980 Images PPT OCR Data of 8 Languages

14,980 Images PPT OCR Data of 8 Languages. This dataset includes 8 languages, multiple scenes, different photographic angles, different photographic distances, different light conditions. For annotation, line-level quadrilateral bounding box annotation and transcription for the texts were annotated in the data. The dataset can be used for tasks such as OCR of multi-language.

PPT OCR meeting room conference room different photographic angles different photographic distances different light conditions line-level quadrilateral bounding box annotation and transcription for the texts
222,289 Images – Asian OCR Data in Natural Scenes

222,289 Images – OCR Data in Natural Scenes. The collecting scenes of this dataset include indoor and outdoor scenes. The data diversity includes multiple scenes, and multiple shooting angles. For annotation, we have annotated in line-level, word-level, and character-level and well content matched text transcription included. The dataset can be used for OCR tasks in natural scenes.rn

OCR Natural scenes Line-level annotation Word-level annotation Character-level annotation Transcription for the texts
39,993 Images – OCR Data of Internet Image

39,993 Images – OCR Data of Internet Image. The collecting scenes of this dataset include subtitle, advertisement, cellphone screenshot, comic, emoticon, poster, magazine cover, etc. The language distribution is Chinese, English (a few). For annotation, line-level rectangular bounding box annotation and transcription for the texts were adopted for the internet images (column-level quadrilateral bounding box annotation and transcription for the texts were adopted for small amount of data). The dataset can be used for OCR tasks of internet images.

Multiple types of internet Images OCR Chinese English line-level rectangular bounding box annotation column-level rectangular bounding box annotation text transcription
Tell Us Your Special Needs

By submitting, I agree to the Privacy Protection

db533ed2-bcf4-4183-adda-ea888ee9c10c

ede946aa-6f1f-4ffd-b987-ee9984738cb3