[{"@type":"PropertyValue","name":"Data size","value":"500 people"},{"@type":"PropertyValue","name":"Population distribution","value":"gender distribution: male, female; race distribution: Vietnam; age distribution: 18~45 years old, 46~60 years old, over 60 years old"},{"@type":"PropertyValue","name":"Collecting environment","value":"in-car Cameras"},{"@type":"PropertyValue","name":"Data diversity","value":"multiple expressions, multiple ages, multiple time periods"},{"@type":"PropertyValue","name":"Device","value":"visible light and infrared binocular camera, resolution 1,920x1,080"},{"@type":"PropertyValue","name":"Shooting position","value":"the center of the inside rear view mirror of the car, above the center console in the car, above the left A-pillar in the car, steering wheel position"},{"@type":"PropertyValue","name":"Collecting time","value":"day, evening, night"},{"@type":"PropertyValue","name":"Vehicle Type","value":"car, SUV, MVP, truck, coach"},{"@type":"PropertyValue","name":"Data Format","value":"the video data format is .mp4"},{"@type":"PropertyValue","name":"Accuracy","value":"according to the accuracy of each person's acquisition expression, the accuracy exceeds 95%;the accuracy of label annotation is not less than 95%"}]
{"id":1293,"datatype":"1","titleimg":"/shujutang/static/image/index/datatang_tuxiang_default.webp","type1":"147","type1str":null,"type2":"147","type2str":null,"dataname":"500 Drivers - 7 Expression Recognition Data","datazy":[{"title":"Data size","value":"500 people"},{"title":"Population distribution","value":"gender distribution: male, female; race distribution: Vietnam; age distribution: 18~45 years old, 46~60 years old, over 60 years old"},{"title":"Collecting environment","value":"in-car Cameras"},{"title":"Data diversity","value":"multiple expressions, multiple ages, multiple time periods"},{"title":"Device","value":"visible light and infrared binocular camera, resolution 1,920x1,080"},{"title":"Shooting position","value":"the center of the inside rear view mirror of the car, above the center console in the car, above the left A-pillar in the car, steering wheel position"},{"title":"Collecting time","value":"day, evening, night"},{"title":"Vehicle Type","value":"car, SUV, MVP, truck, coach"},{"title":"Data Format","value":"the video data format is .mp4"},{"title":"Accuracy","value":"according to the accuracy of each person's acquisition expression, the accuracy exceeds 95%;the accuracy of label annotation is not less than 95%"}],"datatag":"Multiple expressions,Multiple ages,Multiple time periods","technologydoc":null,"downurl":null,"datainfo":"","standard":null,"dataylurl":null,"flag":null,"publishtime":null,"createby":null,"createtime":null,"ext1":null,"samplestoreloc":null,"hosturl":null,"datasize":null,"industryPlan":null,"keyInformation":"","samplePresentation":[["jpg","https://bj-oss-datatang-03.oss-cn-beijing.aliyuncs.com/filesInfoUpload/data/apps/damp/temp/ziptemp/APY231031004_demo1712829642274/APY231031004_demo/03.png?Expires=4102329599&OSSAccessKeyId=LTAI8NWs2pDolLNH&Signature=smO8DujdZTucJrj3rDaOskHyh3E%3D","/data/apps/damp/temp/ziptemp/APY231031004_demo1712829642274/APY231031004_demo/03.png",""],["jpg","https://bj-oss-datatang-03.oss-cn-beijing.aliyuncs.com/filesInfoUpload/data/apps/damp/temp/ziptemp/APY231031004_demo1712829642274/APY231031004_demo/02.png?Expires=4102329599&OSSAccessKeyId=LTAI8NWs2pDolLNH&Signature=GOtx5%2FqTuQSUdwz2pJx0%2BBlVPTQ%3D","/data/apps/damp/temp/ziptemp/APY231031004_demo1712829642274/APY231031004_demo/02.png",""],["jpg","https://bj-oss-datatang-03.oss-cn-beijing.aliyuncs.com/filesInfoUpload/data/apps/damp/temp/ziptemp/APY231031004_demo1712829642274/APY231031004_demo/01.png?Expires=4102329599&OSSAccessKeyId=LTAI8NWs2pDolLNH&Signature=epbh92F9R4CV4PvyV1NKzvRimaA%3D","/data/apps/damp/temp/ziptemp/APY231031004_demo1712829642274/APY231031004_demo/01.png",""]],"officialSummary":"Seven facial expressions recognition data of 500 drivers cover multiple ages, multiple time periods and multiple expressions. In terms of acquisition equipment, visible and infrared binocular cameras are used. This set of driver expression recognition data can be used for driver expression recognition analysis and other tasks.","dataexampl":"","datakeyword":["Driver expression data"," driver expression data collection"," driver expression recognition data"," human pose data"],"isDelete":null,"ids":null,"idsList":null,"datasetCode":null,"productStatus":null,"tagTypeEn":"Task Type,Modalities","tagTypeZh":null,"website":null,"samplePresentationList":null,"datazyList":null,"keyInformationList":null,"dataexamplList":null,"bgimg":null,"datazyScriptList":null,"datakeywordListString":null,"sourceShowPage":"computer","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"],"single":"no","firstList":[["jpg","https://bj-oss-datatang-03.oss-cn-beijing.aliyuncs.com/filesInfoUpload/data/apps/damp/temp/ziptemp/APY231031004_demo1712829642274/APY231031004_demo/04.png?Expires=4102329599&OSSAccessKeyId=LTAI8NWs2pDolLNH&Signature=g4wekWku2sw2fRIfdA5rFKLhq4E%3D","/data/apps/damp/temp/ziptemp/APY231031004_demo1712829642274/APY231031004_demo/04.png",""]]}
Seven facial expressions recognition data of 500 drivers cover multiple ages, multiple time periods and multiple expressions. In terms of acquisition equipment, visible and infrared binocular cameras are used. This set of driver expression recognition data can be used for driver expression recognition analysis and other tasks.
This is a paid datasets for commercial use, research purpose and more. Licensed ready made datasets help jump-start AI projects.
Specifications
Data size
500 people
Population distribution
gender distribution: male, female; race distribution: Vietnam; age distribution: 18~45 years old, 46~60 years old, over 60 years old
Collecting environment
in-car Cameras
Data diversity
multiple expressions, multiple ages, multiple time periods
Device
visible light and infrared binocular camera, resolution 1,920x1,080
Shooting position
the center of the inside rear view mirror of the car, above the center console in the car, above the left A-pillar in the car, steering wheel position
Collecting time
day, evening, night
Vehicle Type
car, SUV, MVP, truck, coach
Data Format
the video data format is .mp4
Accuracy
according to the accuracy of each person's acquisition expression, the accuracy exceeds 95%;the accuracy of label annotation is not less than 95%