[{"@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":"149","type2str":null,"dataname":"Occluded Face Recognition Dataset – 2,937 People, 587,400 Images with Multi-poses","datazy":[{"title":"Data size","desc":"Data size","content":"2,937 people, 200 images per person"},{"title":"Race distribution","desc":"Race distribution","content":"Asian(Vietam .etc.)"},{"title":"Gender distribution","desc":"Gender distribution","content":"1,480 males , 1,457 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":"multiple face poses, multiple occlusion cases, multiple ages, multiple light conditions and scenes"},{"title":"Device","desc":"Device","content":"cellphone"},{"title":"Data format","desc":"Data format","content":".jpg"},{"title":"Accuracy","desc":"Accuracy","content":"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":null,"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":[],"officialSummary":"This dataset contains 2,937 people with 200 images per subject, totaling 587,400 images. Each subject was captured under 4 kinds of light conditions, 10 kinds of occlusion cases (including non-occluded case) and 5 kinds of face poses. This data can be applied to computer vision tasks such as occluded face detection, recognition, and pose-invariant face recognition tasks.","dataexampl":null,"datakeyword":["occlusion face recognition dataset","occluded face detection dataset","face recognition with occlusion dataset","occluded face dataset"],"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"]}
Occluded Face Recognition Dataset – 2,937 People, 587,400 Images with Multi-poses
occlusion face recognition dataset
occluded face detection dataset
face recognition with occlusion dataset
occluded face dataset
This dataset contains 2,937 people with 200 images per subject, totaling 587,400 images. Each subject was captured under 4 kinds of light conditions, 10 kinds of occlusion cases (including non-occluded case) and 5 kinds of face poses. This data can be applied to computer vision tasks such as occluded face detection, recognition, and pose-invariant face recognition 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
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
Device
cellphone
Data format
.jpg
Accuracy
the accuracy of labels of face pose, occlusion case, gender and age is more than 97%