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{"id":971,"datatype":"1","titleimg":"https://res.datatang.com/asset/productNew/APY190430001.png?Expires=2007353665&OSSAccessKeyId=LTAI5tQwXnJZbubgVfVa1ep9&Signature=9H4iDYSdeYfUz4bVlYpgmZfwWaA%3D","type1":"147","type1str":null,"type2":"147","type2str":null,"dataname":"1,056 People Living_Face & Anti-Spoofing Data","datazy":[{"title":"Data size","value":"1,056 people, 235 videos and 63 images for each person"},{"title":"Population distribution","value":"race distribution: 641 Asians, 217 Caucasians, 198 black people; gender distribution: male 542, female 514; age distribution: 56 people under 18 years old, 831 people aged from 18 to 45, 136 people aged from 46 to 60, 33 people over 60 years old"},{"title":"Collection environment","value":"776 people were collected in indoor scenes, 280 people were collected in outdoor scenes"},{"title":"Collection diversity","value":"various postures, expressions, light condition, scenes, time periods and distances"},{"title":"Collection device","value":"iPhone, android phone, iPad"},{"title":"Collection time","value":"979 people in daytime, 77 people at night"},{"title":"Image Parameter","value":"the video format is .mov or .mp4, the image format is .jpg"},{"title":"Accuracy","value":"the accuracy of actions exceeds 97%, the accuracy of naming the actions and lip language exceeds 97%"}],"datatag":"Multiple expressions,Multiple postures,Multiple anti-spoofing samples,Multiple light conditions,Multiple scenes","technologydoc":null,"downurl":null,"datainfo":"1,066 People Living_face & Anti-Spoofing Data. The collection scene includes indoor and outdoor. The data covers male and female, age distribution is from juvenile to the elder, main middle aged and young people. It includes multiple postures, expressions, and anti-spoof sample. The data can be applied to face-scanning payment, remote identification authentication, and mobile phone face unlocking etc.","standard":null,"dataylurl":null,"flag":null,"publishtime":null,"createby":null,"createtime":null,"ext1":null,"samplestoreloc":null,"hosturl":null,"datasize":null,"industryPlan":null,"keyInformation":["1,056 people","three skin colors","diversified collection"],"samplePresentation":[["jpg","https://bj-oss-datatang-03.oss-cn-beijing.aliyuncs.com/filesInfoUpload/data/apps/damp/temp/ziptemp/APY190430001_demo1695808933927/APY190430001_demo/4.png?Expires=4102329599&OSSAccessKeyId=LTAI8NWs2pDolLNH&Signature=Xkv6VGYAIZO7KtQ2ouIktL4yCok%3D","/data/apps/damp/temp/ziptemp/APY190430001_demo1695808933927/APY190430001_demo/4.png",""],["jpg","https://bj-oss-datatang-03.oss-cn-beijing.aliyuncs.com/filesInfoUpload/data/apps/damp/temp/ziptemp/APY190430001_demo1695808933927/APY190430001_demo/3.png?Expires=4102329599&OSSAccessKeyId=LTAI8NWs2pDolLNH&Signature=eWBi0ISnXf233MmRSjPSdMNq1ZY%3D","/data/apps/damp/temp/ziptemp/APY190430001_demo1695808933927/APY190430001_demo/3.png",""],["jpg","https://bj-oss-datatang-03.oss-cn-beijing.aliyuncs.com/filesInfoUpload/data/apps/damp/temp/ziptemp/APY190430001_demo1695808933927/APY190430001_demo/5.png?Expires=4102329599&OSSAccessKeyId=LTAI8NWs2pDolLNH&Signature=QwpqHG5t3VGYQXb9kHMdqH66Nfw%3D","/data/apps/damp/temp/ziptemp/APY190430001_demo1695808933927/APY190430001_demo/5.png",""]],"officialSummary":"1,056 People Living_face & Anti-Spoofing Data. The collection scenes include indoor and outdoor scenes. The data includes male and female. The age distribution ranges from juvenile to the elderly, the young people and the middle aged are the majorities. The data includes multiple postures, multiple expressions, and multiple anti-spoofing samples. The data can be used for tasks such as face payment, remote ID authentication, and face unlocking of mobile phone.","dataexampl":"","datakeyword":["Living_face & Anti-Spoofing data"," face"," multiple races"," multiple postures"," multiple expressions"," multiple scenes"," multiple anti-spoofing samples","multiple age groups"],"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"}
1,056 People Living_face & Anti-Spoofing Data. The collection scenes include indoor and outdoor scenes. The data includes male and female. The age distribution ranges from juvenile to the elderly, the young people and the middle aged are the majorities. The data includes multiple postures, multiple expressions, and multiple anti-spoofing samples. The data can be used for tasks such as face payment, remote ID authentication, and face unlocking of mobile phone.
This is a paid datasets for commercial use, research purpose and more. Licensed ready made datasets help jump-start AI projects.
Specifications
Data size
1,056 people, 235 videos and 63 images for each person
Population distribution
race distribution: 641 Asians, 217 Caucasians, 198 black people; gender distribution: male 542, female 514; age distribution: 56 people under 18 years old, 831 people aged from 18 to 45, 136 people aged from 46 to 60, 33 people over 60 years old
Collection environment
776 people were collected in indoor scenes, 280 people were collected in outdoor scenes
Collection diversity
various postures, expressions, light condition, scenes, time periods and distances
Collection device
iPhone, android phone, iPad
Collection time
979 people in daytime, 77 people at night
Image Parameter
the video format is .mov or .mp4, the image format is .jpg
Accuracy
the accuracy of actions exceeds 97%, the accuracy of naming the actions and lip language exceeds 97%
Specifications
Sample
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