[{"@type":"PropertyValue","name":"Data size","value":"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"},{"@type":"PropertyValue","name":"Collecting environment","value":"including shop plaque, stop board, poster, ticket, road sign, comic, cover picture, prompt/reminder, warning, packing instruction, menu, building sign, etc."},{"@type":"PropertyValue","name":"Diversity","value":"including 12 languages, multiple natural scenes, multiple photographic angles (looking up angle, looking down angle, eye-level angle)"},{"@type":"PropertyValue","name":"Device","value":"cellphone, camera"},{"@type":"PropertyValue","name":"Image parameter","value":"the image data format is .jpg, and 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 97%; the texts transcription accuracy is not less than 97%"}]
{"id":1064,"datatype":"1","titleimg":"https://res.datatang.com/asset/productNew/APY200531001.png?Expires=2007353685&OSSAccessKeyId=LTAI5tQwXnJZbubgVfVa1ep9&Signature=tsD0HrpZ9Az9hV5dfhFWjiXFxuQ%3D","type1":"147","type1str":null,"type2":"150","type2str":null,"dataname":"Multilingual OCR Dataset – 12 Languages Natural Scene Text","datazy":[{"title":"Data size","desc":"Data size","content":"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"},{"title":"Collecting environment","desc":"Collecting environment","content":"including shop plaque, stop board, poster, ticket, road sign, comic, cover picture, prompt/reminder, warning, packing instruction, menu, building sign, etc."},{"title":"Diversity","desc":"Diversity","content":"including 12 languages, multiple natural scenes, multiple photographic angles (looking up angle, looking down angle, eye-level angle)"},{"title":"Device","desc":"Device","content":"cellphone, camera"},{"title":"Image parameter","desc":"Image parameter","content":"the image data format is .jpg, and the annotation file data format is .json"},{"title":"Annotation content","desc":"Annotation content","content":"line-level quadrilateral bounding box annotation and transcription for the texts"},{"title":"Accuracy","desc":"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 97%; the texts transcription accuracy is not less than 97%"}],"datatag":"12 languages,Multiple photographic angles,Multiple scenes,Line-level quadrilateral bounding box annotation and transcription","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":"","samplePresentation":[{"name":"/data/apps/damp/temp/ziptemp/APY200531001_demo1695808990408/Spanish.jpg","url":"https://bj-oss-datatang-03.oss-cn-beijing.aliyuncs.com/filesInfoUpload/data/apps/damp/temp/ziptemp/APY200531001_demo1695808990408/Spanish.jpg?Expires=4102329599&OSSAccessKeyId=LTAI8NWs2pDolLNH&Signature=TafXJxAg8o5Kg%2BGun3KIiEjsu%2BU%3D","intro":"","size":0,"progress":100,"type":"jpg"},{"name":"/data/apps/damp/temp/ziptemp/APY200531001_demo1695808990408/Portuguese.jpg","url":"https://bj-oss-datatang-03.oss-cn-beijing.aliyuncs.com/filesInfoUpload/data/apps/damp/temp/ziptemp/APY200531001_demo1695808990408/Portuguese.jpg?Expires=4102329599&OSSAccessKeyId=LTAI8NWs2pDolLNH&Signature=9arI65%2BOzsdy2xK7XZfBGqmQ2og%3D","intro":"","size":0,"progress":100,"type":"jpg"},{"name":"/data/apps/damp/temp/ziptemp/APY200531001_demo1695808990408/German.jpg","url":"https://bj-oss-datatang-03.oss-cn-beijing.aliyuncs.com/filesInfoUpload/data/apps/damp/temp/ziptemp/APY200531001_demo1695808990408/German.jpg?Expires=4102329599&OSSAccessKeyId=LTAI8NWs2pDolLNH&Signature=%2FiYq03v6ZQCDTNsEE6fB5DmAkGk%3D","intro":"","size":0,"progress":100,"type":"jpg"}],"officialSummary":"This dataset contains 105,941 images of natural scene text collected across multiple real-world environments, covering 12 languages, including 6 Asian languages and 6 European languages. The data covers multiple natural scenes, multiple photographic angles. For annotation, each image is annotated with line-level quadrilateral bounding boxes and accurate text transcriptions. The data can be used for multilingual OCR, scene text recognition, and cross-language OCR model training.","dataexampl":null,"datakeyword":["multilingual OCR dataset","OCR dataset","scene text OCR dataset","natural scene OCR dataset","multi-language OCR dataset","text recognition dataset","OCR annotation dataset","line-level OCR dataset"],"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,PT,DE,KO,FR,ES\"},{\"code\":\"3\",\"language\":\"EN\"}]","productNameEn":"105,941 Images Natural Scenes OCR Data of 12 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"],"firstList":[{"name":"/data/apps/damp/temp/ziptemp/APY200531001_demo1695808990408/Russian.jpg","url":"https://bj-oss-datatang-03.oss-cn-beijing.aliyuncs.com/filesInfoUpload/data/apps/damp/temp/ziptemp/APY200531001_demo1695808990408/Russian.jpg?Expires=4102329599&OSSAccessKeyId=LTAI8NWs2pDolLNH&Signature=ieEtznzUAUiNqtvqirs%2F8uIwe8Y%3D","intro":"","size":0,"progress":100,"type":"jpg"}]}
Multilingual OCR Dataset – 12 Languages Natural Scene Text
multilingual OCR dataset
OCR dataset
scene text OCR dataset
natural scene OCR dataset
multi-language OCR dataset
text recognition dataset
OCR annotation dataset
line-level OCR dataset
This dataset contains 105,941 images of natural scene text collected across multiple real-world environments, covering 12 languages, including 6 Asian languages and 6 European languages. The data covers multiple natural scenes, multiple photographic angles. For annotation, each image is annotated with line-level quadrilateral bounding boxes and accurate text transcriptions. The data can be used for multilingual OCR, scene text recognition, and cross-language OCR model training.
This is a paid datasets for commercial use, research purpose and more. Licensed ready made datasets help jump-start AI projects.
Specifications
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%
Specifications
Sample
Recommended Dataset
