[{"@type":"PropertyValue","name":"Data size","value":"466 people, the number of images is 18,880"},{"@type":"PropertyValue","name":"Race distribution","value":"Asian"},{"@type":"PropertyValue","name":"Gender distribution","value":"233 males, 233 females"},{"@type":"PropertyValue","name":"Age distribution","value":"299 children and teenagers, 167 adults"},{"@type":"PropertyValue","name":"Collecting environment","value":"including indoor scenes and outdoor scenes"},{"@type":"PropertyValue","name":"Data diversity","value":"multiple scenes, light conditions, ages, shooting angles, and poses"},{"@type":"PropertyValue","name":"Device","value":"RealSense Depth Camera D435i"},{"@type":"PropertyValue","name":"Data format","value":"the image data format is .jpg and .png, the annotation file format are .json，the file format of camera parameters is .txt"},{"@type":"PropertyValue","name":"Collecting content","value":"3D images of various human body poses ((the rgb channel and depth channel have been registered))"},{"@type":"PropertyValue","name":"Annotation content","value":"instance segmentation annotation of human body , 22 landmarks annotation of human body"},{"@type":"PropertyValue","name":"Accuracy","value":"Accuracy requirement: the mask edge location errors in x and y directions are less than 3 pixels, which is considered as a qualified annotation; Accuracy requirement of segmentation annotation: the annotation part (each part of mask) is regarded as the unit, the accuracy rate shall be more than 95%; Accuracy requirement of landmark annotation: the annotation part (each landmark) is regarded as the unit, the accuracy rate shall be more than 95%; Annotating accuracy = number of correct annotations / total number of annotations"}]
{"id":1040,"datatype":"1","titleimg":"https://res.datatang.com/asset/productNew/datatang-image/APY191016001.png?Expires=2008138895&OSSAccessKeyId=LTAI5tQwXnJZbubgVfVa1ep9&Signature=6wYjNYNdETzXPxqzJEifj6syuzY%3D","type1":"147","type1str":null,"type2":"147","type2str":null,"dataname":"18,880 Images of 466 People - 3D Instance Segmentation and 22 Landmarks Annotation Data of Human Body","datazy":[{"title":"Data size","value":"466 people, the number of images is 18,880"},{"title":"Race distribution","value":"Asian"},{"title":"Gender distribution","value":"233 males, 233 females"},{"title":"Age distribution","value":"299 children and teenagers, 167 adults"},{"title":"Collecting environment","value":"including indoor scenes and outdoor scenes"},{"title":"Data diversity","value":"multiple scenes, light conditions, ages, shooting angles, and poses"},{"title":"Device","value":"RealSense Depth Camera D435i"},{"title":"Data format","value":"the image data format is .jpg and .png, the annotation file format are .json，the file format of camera parameters is .txt"},{"title":"Collecting content","value":"3D images of various human body poses ((the rgb channel and depth channel have been registered))"},{"title":"Annotation content","value":"instance segmentation annotation of human body , 22 landmarks annotation of human body"},{"title":"Accuracy","value":"Accuracy requirement: the mask edge location errors in x and y directions are less than 3 pixels, which is considered as a qualified annotation; Accuracy requirement of segmentation annotation: the annotation part (each part of mask) is regarded as the unit, the accuracy rate shall be more than 95%; Accuracy requirement of landmark annotation: the annotation part (each landmark) is regarded as the unit, the accuracy rate shall be more than 95%; Annotating accuracy = number of correct annotations / total number of annotations"}],"datatag":"Human body instance segmentation,Human body landmarks,3D,Multiple poses,Multiple scenes","technologydoc":null,"downurl":null,"datainfo":"34,748 images data of 423 people - 3D Segmentation and 22-points Landmark Annotation of human body, images collection with annotation for 2D gesture recognition, it contains multi-scenario, multi-illumination, multi-direction, a variety of attachments (bag, fan, toy, etc.). We annotated the human body instance segmentation, 22-points landmark (visible/invisible), and gesture bounding-box (contain tilt bounding-box). It can be applied to tasks such as human body instance segmentation, human body keypoint positioning, gesture recognition, etc.","standard":null,"dataylurl":null,"flag":null,"publishtime":null,"createby":null,"createtime":null,"ext1":null,"samplestoreloc":null,"hosturl":null,"datasize":null,"industryPlan":null,"keyInformation":["Human body instance segmentation","Human body landmarks","3D"],"samplePresentation":["mp4",""],"officialSummary":"18,880 Images of 466 People - 3D Instance Segmentation and 22 Landmarks Annotation Data of Human Body. The dataset diversity includes multiple scenes, light conditions, ages, shooting angles, and poses. In terms of annotation, we adpoted instance segmentation annotations on human body. 22 landmarks were also annotated for each human body. The dataset can be used for tasks such as human body instance segmentation and human behavior recognition.","dataexampl":"","datakeyword":"Human body instance segmentation,Human body landmarks,3D,Multiple poses,Multiple scenes","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"],"single":"yes"}
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