[{"@type":"PropertyValue","name":"Data size","value":"180 people, 50 images per person, including 18 static gestures, 32 dynamic gestures"},{"@type":"PropertyValue","name":"Population distribution","value":"gender distribution: 89 males, 91 females; age distribution: ranging from young to the elderly, the middle-aged and young people are the majorities; race distribution: Asian"},{"@type":"PropertyValue","name":"Collecting environment","value":"In-cabin camera"},{"@type":"PropertyValue","name":"Data diversity","value":"multiple age periods, multiple time periods, multiple gestures"},{"@type":"PropertyValue","name":"Device","value":"RGB camera, the resolution is 1,920*1,080"},{"@type":"PropertyValue","name":"Shooting position","value":"above the rearview mirror"},{"@type":"PropertyValue","name":"Collecting time","value":"day, evening, night"},{"@type":"PropertyValue","name":"Vehicle type","value":"car, SUV, MPV"},{"@type":"PropertyValue","name":"Data format","value":"the image data format is .jpg, the annotation file format is .json"},{"@type":"PropertyValue","name":"Annotation content","value":"label the vehicle type, gesture type, person nationality, gender and age; gesture 21 landmarks (each landmark includes the attribute of visible and invisible) were annotated"},{"@type":"PropertyValue","name":"Accuracy rate","value":"the accuracy of gesture landmarks annotation is not less than 95%; the accuracies of gesture type, gesture attributes and person label are not less than 95%."}]
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