[{"@type":"PropertyValue","name":"Data size","value":"100 people, 28,972 images, each person contains 274-298 images"},{"@type":"PropertyValue","name":"Population distribution","value":"Gender distribution: 50 males, 50 females; race distribution: 50 Caucasians, 30 Blacks, and 20 Browns; age distribution: 51 people aged from 18 to 30, 45 people aged from 31 to 45, 4 people aged from 46 to 60"},{"@type":"PropertyValue","name":"Collecting environment","value":"In-car Cameras"},{"@type":"PropertyValue","name":"Data diversity","value":"multiple races, multiple age periods, multiple time periods and behaviors (Dangerous behavior, Fatigue behavior, Visual movement behavior)"},{"@type":"PropertyValue","name":"Device","value":"Infrared cameraes, the resolutions is 640x480"},{"@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"},{"@type":"PropertyValue","name":"Collecting time","value":"day, evening and night"},{"@type":"PropertyValue","name":"Vehicle Type","value":"car, SUV"},{"@type":"PropertyValue","name":"Data format","value":"image data format is .jpg, annotation document format is .json"},{"@type":"PropertyValue","name":"Annotation content","value":"annotations include detected facial bounding boxes and 96 facial landmarks"},{"@type":"PropertyValue","name":"Accuracy rate","value":"face Detection Bounding Box Accuracy: the detection box is considered qualified if the offset does not exceed 5 pixels on all four sides, with a qualification rate of no less than 95%; Facial Landmark Accuracy: the accuracy rate of facial landmark annotation must be no less than 95%."}]
{"id":1588,"datatype":"1","titleimg":"/shujutang/static/image/index/datatang_tuxiang_default.jpg","type1":"147","type1str":null,"type2":"151","type2str":null,"dataname":"28,972 Images - Driver Face Detection & Face 96 Landmarks Annotation Data","datazy":[{"title":"Data size","desc":"Data size","content":"100 people, 28,972 images, each person contains 274-298 images"},{"desc":"Population distribution","content":"Gender distribution: 50 males, 50 females; race distribution: 50 Caucasians, 30 Blacks, and 20 Browns; age distribution: 51 people aged from 18 to 30, 45 people aged from 31 to 45, 4 people aged from 46 to 60","title":"Population distribution"},{"desc":"Collecting environment","content":"In-car Cameras","title":"Collecting environment"},{"desc":"Data diversity","content":"multiple races, multiple age periods, multiple time periods and behaviors (Dangerous behavior, Fatigue behavior, Visual movement behavior)","title":"Data diversity"},{"desc":"Device","content":"Infrared cameraes, the resolutions is 640x480","title":"Device"},{"desc":"Shooting position","content":"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","title":"Shooting position"},{"desc":"Collecting time","content":"day, evening and night","title":"Collecting time"},{"desc":"Vehicle Type","content":"car, SUV","title":"Vehicle Type"},{"desc":"Data format","content":"image data format is .jpg, annotation document format is .json","title":"Data format"},{"desc":"Annotation content","content":"annotations include detected facial bounding boxes and 96 facial landmarks","title":"Annotation content"},{"desc":"Accuracy rate","content":"face Detection Bounding Box Accuracy: the detection box is considered qualified if the offset does not exceed 5 pixels on all four sides, with a qualification rate of no less than 95%; Facial Landmark Accuracy: the accuracy rate of facial landmark annotation must be no less than 95%.","title":"Accuracy rate"}],"datatag":"DMS，Drivers,Face Detection,Facial 96 Landmarks","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":"","samplePresentation":[],"officialSummary":"100 People - Face Detection & Face 96 Landmarks Annotation Data. The data includes multiple ages, multiple time periods and multiple races (Caucasian, Black, Indian). The driver behaviors includes dangerous behavior, fatigue behavior and visual movement behavior. In terms of device, infrared cameras were applied. In terms of annotation, each individual consists of 274 to 299 photos, with annotations for detected facial bounding boxes and 96 facial landmarks. The data can be used for tasks such as facial detection, 96 facial landmark recognition.","dataexampl":null,"datakeyword":"DMS，Drivers,Face Detection,Facial 96 Landmarks","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.png","/shujutang/static/image/comm/audio_bg2.png","/shujutang/static/image/comm/audio_bg3.png","/shujutang/static/image/comm/audio_bg4.png","/shujutang/static/image/comm/audio_bg5.png"]}
[]
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