[{"@type":"PropertyValue","name":"Data size","value":"29,523 people, one ID photo and 5-10 life photos per person"},{"@type":"PropertyValue","name":"Race distribution","value":"2,099 black people, 2,238 Caucasian people, 841 brown (Mexicans) people and 24,345 Asian people"},{"@type":"PropertyValue","name":"Gender distribution","value":"14,790 males, 14,733 females"},{"@type":"PropertyValue","name":"Age distribution:","value":"ranging from teenager to the elderly, the middle-aged and young people are the majorities"},{"@type":"PropertyValue","name":"Collecting environment","value":"including indoor and outdoor scenes"},{"@type":"PropertyValue","name":"Data diversity","value":"different poses, races or nationality, ages and collecting scenes"},{"@type":"PropertyValue","name":"Device","value":"cellphone"},{"@type":"PropertyValue","name":"Data format","value":".jpg, .jpeg, .png"},{"@type":"PropertyValue","name":"accuracy","value":"the accuracy of labels of gender, race or nationality and age are more than 97%"}]
{"id":1020,"datatype":"1","titleimg":"[{\"name\": \"APY191130005.png\", \"url\": \"https://res.datatang.com/asset/productNew/APY191130005.png?Expires=2007353673&OSSAccessKeyId=LTAI5tQwXnJZbubgVfVa1ep9&Signature=nOTBX9ysl0ekGoISWPvwNWeju00%3D\", \"size\": 2048, \"progress\": 100}]","type1":"147","type1str":null,"type2":"149","type2str":null,"dataname":"29,523 People Face Recognition Data with Identification Photos","datazy":[{"title":"Data size","desc":"Data size","content":"29,523 people, one ID photo and 5-10 life photos per person"},{"title":"Race distribution","desc":"Race distribution","content":"2,099 black people, 2,238 Caucasian people, 841 brown (Mexicans) people and 24,345 Asian people"},{"title":"Gender distribution","desc":"Gender distribution","content":"14,790 males, 14,733 females"},{"title":"Age distribution:","desc":"Age distribution:","content":"ranging from teenager to the elderly, the middle-aged and young people are the majorities"},{"title":"Collecting environment","desc":"Collecting environment","content":"including indoor and outdoor scenes"},{"title":"Data diversity","desc":"Data diversity","content":"different poses, races or nationality, ages and collecting scenes"},{"title":"Device","desc":"Device","content":"cellphone"},{"title":"Data format","desc":"Data format","content":".jpg, .jpeg, .png"},{"title":"accuracy","desc":"accuracy","content":"the accuracy of labels of gender, race or nationality and age are more than 97%"}],"datatag":"Different poses,Races or nationality,Ages and collecting scenes","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":["29,523 people, one ID photo and 5-10 life photos per person"],"samplePresentation":[{"name":"/data/apps/damp/temp/ziptemp/APY191130005_demo1681984810758/APY191130005_demo/black.png","url":"https://bj-oss-datatang-03.oss-cn-beijing.aliyuncs.com/filesInfoUpload/data/apps/damp/temp/ziptemp/APY191130005_demo1681984810758/APY191130005_demo/black.png?Expires=4102329599&OSSAccessKeyId=LTAI8NWs2pDolLNH&Signature=cTeQstufhAd9mv6c726LJFY1gPg%3D","intro":"","size":0,"progress":100,"type":"jpg"},{"name":"/data/apps/damp/temp/ziptemp/APY191130005_demo1681984810758/APY191130005_demo/brown.png","url":"https://bj-oss-datatang-03.oss-cn-beijing.aliyuncs.com/filesInfoUpload/data/apps/damp/temp/ziptemp/APY191130005_demo1681984810758/APY191130005_demo/brown.png?Expires=4102329599&OSSAccessKeyId=LTAI8NWs2pDolLNH&Signature=MyuntQq1QJqalGvdvfNhnx2lhE0%3D","intro":"","size":0,"progress":100,"type":"jpg"},{"name":"/data/apps/damp/temp/ziptemp/APY191130005_demo1681984810758/APY191130005_demo/Caucasian.png","url":"https://bj-oss-datatang-03.oss-cn-beijing.aliyuncs.com/filesInfoUpload/data/apps/damp/temp/ziptemp/APY191130005_demo1681984810758/APY191130005_demo/Caucasian.png?Expires=4102329599&OSSAccessKeyId=LTAI8NWs2pDolLNH&Signature=CxxYblzd%2BYUuFCKc0nkksQkSosI%3D","intro":"","size":0,"progress":100,"type":"jpg"}],"officialSummary":"29,523 People Face Recognition Data with Identification Photos.The race distribution of data includes Asian race, Caucasian race, black race and brown race. For each subject, one ID photo and 5-10 life photos were collected. This data can be used for face recognition.","dataexampl":null,"datakeyword":["Multi-race","Identification photo","Life photo","Face recognition"],"isDelete":null,"ids":null,"idsList":null,"datasetCode":null,"productStatus":null,"tagTypeEn":"Annotation Type,Application,Data Types,Task Type,Data Format","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"]}
29,523 People Face Recognition Data with Identification Photos
Multi-race
Identification photo
Life photo
Face recognition
29,523 People Face Recognition Data with Identification Photos.The race distribution of data includes Asian race, Caucasian race, black race and brown race. For each subject, one ID photo and 5-10 life photos were collected. This data can be used for face recognition.
This is a paid datasets for commercial use, research purpose and more. Licensed ready made datasets help jump-start AI projects.
Specifications
Data size
29,523 people, one ID photo and 5-10 life photos per person
Race distribution
2,099 black people, 2,238 Caucasian people, 841 brown (Mexicans) people and 24,345 Asian people
Gender distribution
14,790 males, 14,733 females
Age distribution:
ranging from teenager to the elderly, the middle-aged and young people are the majorities
Collecting environment
including indoor and outdoor scenes
Data diversity
different poses, races or nationality, ages and collecting scenes
Device
cellphone
Data format
.jpg, .jpeg, .png
accuracy
the accuracy of labels of gender, race or nationality and age are more than 97%