[{"@type":"PropertyValue","name":"Data size","value":"2,937 people, 200 images per person"},{"@type":"PropertyValue","name":"Race distribution","value":"Asian(Vietam .etc.)"},{"@type":"PropertyValue","name":"Gender distribution","value":"1,480 males , 1,457 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":"multiple face poses, multiple occlusion cases, multiple ages, multiple light conditions and scenes"},{"@type":"PropertyValue","name":"Device","value":"cellphone"},{"@type":"PropertyValue","name":"Data format","value":".jpg"},{"@type":"PropertyValue","name":"Accuracy","value":"the accuracy of labels of face pose, occlusion case, gender and age is more than 97%"}]
{"id":1073,"datatype":"1","titleimg":"https://res.datatang.com/asset/productNew/APY200831001.png?Expires=2007353687&OSSAccessKeyId=LTAI5tQwXnJZbubgVfVa1ep9&Signature=vC8rkQNdhXfaW1T47QEeuKymqj8%3D","type1":"147","type1str":null,"type2":"147","type2str":null,"dataname":"2,937 People with Occlusion and Multi-pose Face Recognition Data","datazy":[{"title":"Data size","value":"2,937 people, 200 images per person"},{"title":"Race distribution","value":"Asian(Vietam .etc.)"},{"title":"Gender distribution","value":"1,480 males , 1,457 females"},{"title":"Age distribution","value":"ranging from teenager to the elderly, the middle-aged and young people are the majorities"},{"title":"Collecting environment","value":"including indoor and outdoor scenes"},{"title":"Data diversity","value":"multiple face poses, multiple occlusion cases, multiple ages, multiple light conditions and scenes"},{"title":"Device","value":"cellphone"},{"title":"Data format","value":".jpg"},{"title":"Accuracy","value":"the accuracy of labels of face pose, occlusion case, gender and age is more than 97%"}],"datatag":"Face recognition,Face occlusion,Multi-pose per person,Face with mask","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":["2937 people, 200 images per person","Asian","multiple face poses, multiple occlusion cases, multiple ages, multiple light conditions and scenes"],"samplePresentation":["mp4",""],"officialSummary":"2,937 People with Occlusion and Multi-pose Face Recognition Data, for each subject, 200 images were collected. The 200 images includes 4 kinds of light conditions * 10 kinds of occlusion cases (including non-occluded case) * 5 kinds of face pose. This data can be applied to computer vision tasks such as occluded face detection and recognition.","dataexampl":"","datakeyword":["Face recognition"," Face occlusion","Multi-pose per person","Face with mask","mask-on face detection"],"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":"yes"}
[{"@type":"VideoObject","embedUrl":"p"},{"@type":"VideoObject"}]
2,937 People with Occlusion and Multi-pose Face Recognition Data
Face recognition
Face occlusion
Multi-pose per person
Face with mask
mask-on face detection
2,937 People with Occlusion and Multi-pose Face Recognition Data, for each subject, 200 images were collected. The 200 images includes 4 kinds of light conditions * 10 kinds of occlusion cases (including non-occluded case) * 5 kinds of face pose. This data can be applied to computer vision tasks such as occluded face detection and 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
2,937 people, 200 images per person
Race distribution
Asian(Vietam .etc.)
Gender distribution
1,480 males , 1,457 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
multiple face poses, multiple occlusion cases, multiple ages, multiple light conditions and scenes
Accuracy
the accuracy of labels of face pose, occlusion case, gender and age is more than 97%
Sample
Recommended Dataset
Tell Us Your Special Needs
a90a25a5-b066-46e1-b05e-6a04d9fc93ea