[{"@type":"PropertyValue","name":"Data size","value":"14,980 images, 8 languages"},{"@type":"PropertyValue","name":"Data environment","value":"including meeting room, conference room"},{"@type":"PropertyValue","name":"Language types","value":"French, Korean, Japanese, Spanish, German, Italian, Portuguese and Russian"},{"@type":"PropertyValue","name":"Data diversity","value":"multiple scenes, multiple languages, different photographic angles, different photographic distances, different light conditions"},{"@type":"PropertyValue","name":"Device","value":"cellphone"},{"@type":"PropertyValue","name":"Collecting angles","value":"front, left, right, looking up angle"},{"@type":"PropertyValue","name":"Data format","value":"the image data format is .jpg, the annotation file data format is .json"},{"@type":"PropertyValue","name":"Annotation content","value":"line-level quadrilateral bounding box annotation and transcription for the texts"},{"@type":"PropertyValue","name":"Accuracy","value":"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%"}]
{"id":979,"datatype":"1","titleimg":"https://www.nexdata.ai/shujutang/static/image/index/datatang_tuxiang_default.webp","type1":"147","type1str":null,"type2":"150","type2str":null,"dataname":"14,980 Images PPT OCR Data of 8 Languages","datazy":[{"title":"Data size","content":"14,980 images, 8 languages"},{"title":"Data environment","content":"including meeting room, conference room"},{"title":"Language types","content":"French, Korean, Japanese, Spanish, German, Italian, Portuguese and Russian"},{"title":"Data diversity","content":"multiple scenes, multiple languages, different photographic angles, different photographic distances, different light conditions"},{"title":"Device","content":"cellphone"},{"title":"Collecting angles","content":"front, left, right, looking up angle"},{"title":"Data format","content":"the image data format is .jpg, the annotation file data format is .json"},{"title":"Annotation content","content":"line-level quadrilateral bounding box annotation and transcription for the texts"},{"title":"Accuracy","content":"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%"}],"datatag":"Multiple scenes,Multiple languages,Different photographic angles,Different photographic distances,Different light conditions","technologydoc":null,"downurl":null,"datainfo":null,"standard":null,"dataylurl":null,"flag":null,"publishtime":null,"createby":null,"createtime":null,"ext1":null,"samplestoreloc":null,"hosturl":null,"datasize":null,"industryPlan":null,"keyInformation":null,"samplePresentation":[{"name":"/data/apps/damp/temp/ziptemp/APY190221001_demo1695808941160/APY190221001_demo/2.jpg","url":"https://bj-oss-datatang-03.oss-cn-beijing.aliyuncs.com/filesInfoUpload/data/apps/damp/temp/ziptemp/APY190221001_demo1695808941160/APY190221001_demo/2.jpg?Expires=4102329599&OSSAccessKeyId=LTAI8NWs2pDolLNH&Signature=sqPdc1rGwcLu%2BK2TLOwTHcVrLQs%3D","intro":"","size":0,"progress":100,"type":"jpg"},{"name":"/data/apps/damp/temp/ziptemp/APY190221001_demo1695808941160/APY190221001_demo/3.jpg","url":"https://bj-oss-datatang-03.oss-cn-beijing.aliyuncs.com/filesInfoUpload/data/apps/damp/temp/ziptemp/APY190221001_demo1695808941160/APY190221001_demo/3.jpg?Expires=4102329599&OSSAccessKeyId=LTAI8NWs2pDolLNH&Signature=uOxRQ0dl8DcDwkjpEaXwlvSDyPg%3D","intro":"","size":0,"progress":100,"type":"jpg"},{"name":"/data/apps/damp/temp/ziptemp/APY190221001_demo1695808941160/APY190221001_demo/1.jpg","url":"https://bj-oss-datatang-03.oss-cn-beijing.aliyuncs.com/filesInfoUpload/data/apps/damp/temp/ziptemp/APY190221001_demo1695808941160/APY190221001_demo/1.jpg?Expires=4102329599&OSSAccessKeyId=LTAI8NWs2pDolLNH&Signature=1jE3Q1rsa7koY0u0viSa%2FobOefo%3D","intro":"","size":0,"progress":100,"type":"jpg"}],"officialSummary":"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.","dataexampl":null,"datakeyword":["Multiple scenes","Multiple languages","Different photographic angles","Different photographic distances","Different light conditions"],"isDelete":null,"ids":null,"idsList":null,"datasetCode":null,"productStatus":null,"tagTypeEn":"Data Type,Language","tagTypeZh":null,"website":null,"samplePresentationList":null,"datazyList":null,"keyInformationList":null,"dataexamplList":null,"bgimg":null,"datazyScriptList":null,"datakeywordListString":null,"sourceShowPage":"ocr","dataShowType":"[{\"code\":\"0\",\"language\":\"ZH\"},{\"code\":\"1\",\"language\":\"ZH\"},{\"code\":\"2\",\"language\":\"EN,JP,KO\"},{\"code\":\"3\",\"language\":\"EN\"},{\"code\":\"4\",\"language\":\"JP\"}]","productNameEn":"14,980 Images PPT OCR Data of 8 Languages","BGimg":"","voiceBg":["/shujutang/static/image/comm/audio_bg.webp","/shujutang/static/image/comm/audio_bg2.webp","/shujutang/static/image/comm/audio_bg3.webp","/shujutang/static/image/comm/audio_bg4.webp","/shujutang/static/image/comm/audio_bg5.webp"]}
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.
This is a paid datasets for commercial use, research purpose and more. Licensed ready made datasets help jump-start AI projects.
Specifications
Data size
14,980 images, 8 languages
Data environment
including meeting room, conference room
Language types
French, Korean, Japanese, Spanish, German, Italian, Portuguese and Russian
Data diversity
multiple scenes, multiple languages, different photographic angles, different photographic distances, different light conditions
Device
cellphone
Collecting angles
front, left, right, looking up angle
Data format
the image data format is .jpg, 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 95%; the texts transcription accuracy is not less than 95%
Nexdata provides OCR datasets covering a wide range of data types, including documents, handwriting, invoices, test papers, and forms. The datasets cover diverse languages, layouts, text styles, and real-world scenarios to support OCR model training, text recognition, document analysis, and other document AI applications.
Can Nexdata customize OCR datasets for specific requirements?
Yes. If our off-the-shelf OCR datasets do not fully meet your requirements, Nexdata provides flexible custom data collection, annotation, and quality control services. We can customize datasets based on target languages, document types, handwriting styles, layouts, image conditions, data volume, and annotation specifications for specific OCR applications.
How does Nexdata ensure the quality and scalability of OCR datasets?
Nexdata applies multi-stage quality control throughout data collection, annotation, validation, and delivery. With extensive resources covering documents, handwriting, invoices, test papers, and forms, we can support both large-scale OCR projects and specialized datasets with customized formats, annotation requirements, and quality standards.
Specifications
Sample
Recommended Dataset
