{"id":957,"datatype":"1","titleimg":"https://res.datatang.com/asset/productNew/APY181130001.png?Expires=2007353651&OSSAccessKeyId=LTAI5tQwXnJZbubgVfVa1ep9&Signature=gylX81oruNkv7zt2BSLVCXS749A%3D","type1":"147","type1str":null,"type2":"147","type2str":null,"dataname":"314,178 Images 18_Gestures Recognition Data","datazy":[{"title":"Data size","value":"314,178 images, 18 gestures"},{"title":"Population distribution","value":"the race distribution is yellow race, the gender distribution is male and female, the age distribution is mainly young and middle-aged"},{"title":"Collection environment","value":"indoor scenes and outdoor scenes (natural scenery, roadside street view, square, etc.)"},{"title":"Data diversity","value":"multiple scenes, 18 gestures, 5 shooting angels, multiple ages, multiple light conditions"},{"title":"Collection device","value":"cellphone"},{"title":"Image parameter","value":"the image format is .jpg, the annotated file format is .json"},{"title":"Annotation content","value":"21 landmarks annotation (each landmark includes the attribute of visible and visible), gesture type annotation, gesture attributes annotation"},{"title":"Accuracy","value":"the accuracy of gesture landmarks annotation is not less than 95%; the accuracies of gesture type and gesture attributes are not less than 95%"}],"datatag":"Multiple scenes,18 gestures,21 landmarks annotation,5 shooting angels,Multiple ages,Multiple light conditions","technologydoc":null,"downurl":null,"datainfo":"314,178 18_ Gestures Recognition Data. It includes entertainment gestures and number gestures, total 18 categories.Each gesture covers left and right hand, forehand and backhand, angle rotation etc. This data can be applied to gesture recognition, man-machine interaction, and live broadcasting interaction etc.","standard":null,"dataylurl":null,"flag":null,"publishtime":null,"createby":null,"createtime":null,"ext1":null,"samplestoreloc":null,"hosturl":null,"datasize":null,"industryPlan":null,"keyInformation":["Chinese","gesture attributes annotation","21 gestural landmarks annotation"],"samplePresentation":[["jpg","https://bj-oss-datatang-03.oss-cn-beijing.aliyuncs.com/filesInfoUpload/data/apps/damp/temp/ziptemp/APY181130001_demo1712829638577/APY181130001_demo/2.jpg?Expires=4102329599&OSSAccessKeyId=LTAI8NWs2pDolLNH&Signature=0RNGyxfdqE6W9%2B01Kr3UZjHQFN8%3D","/data/apps/damp/temp/ziptemp/APY181130001_demo1712829638577/APY181130001_demo/2.jpg",""],["jpg","https://bj-oss-datatang-03.oss-cn-beijing.aliyuncs.com/filesInfoUpload/data/apps/damp/temp/ziptemp/APY181130001_demo1712829638577/APY181130001_demo/3.jpg?Expires=4102329599&OSSAccessKeyId=LTAI8NWs2pDolLNH&Signature=gI%2B%2Fwj5n9VCkjN883pzXcNx5qPA%3D","/data/apps/damp/temp/ziptemp/APY181130001_demo1712829638577/APY181130001_demo/3.jpg",""],["jpg","https://bj-oss-datatang-03.oss-cn-beijing.aliyuncs.com/filesInfoUpload/data/apps/damp/temp/ziptemp/APY181130001_demo1712829638577/APY181130001_demo/1.jpg?Expires=4102329599&OSSAccessKeyId=LTAI8NWs2pDolLNH&Signature=DalaJQsiijBJUNuCTU2LwcckTvs%3D","/data/apps/damp/temp/ziptemp/APY181130001_demo1712829638577/APY181130001_demo/1.jpg",""]],"officialSummary":"314,178 Images 18_Gestures Recognition Data. This data diversity includes multiple scenes, 18 gestures, 5 shooting angels, multiple ages and multiple light conditions. For annotation, gesture 21 landmarks (each landmark includes the attribute of visible and visible), gesture type and gesture attributes were annotated. This data can be used for tasks such as gesture recognition and human-machine interaction.","dataexampl":"","datakeyword":["multiple scenes"," 18 gestures"," 5 shooting angels"," multiple ages"," multiple light conditions"," gesture recognition"," 21 gestural landmarks annotation"],"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":"no","firstList":[["jpg","https://bj-oss-datatang-03.oss-cn-beijing.aliyuncs.com/filesInfoUpload/data/apps/damp/temp/ziptemp/APY181130001_demo1712829638577/APY181130001_demo/5.jpg?Expires=4102329599&OSSAccessKeyId=LTAI8NWs2pDolLNH&Signature=KlIRyDA1YHgGZbsUYcxgLqizc6c%3D","/data/apps/damp/temp/ziptemp/APY181130001_demo1712829638577/APY181130001_demo/5.jpg",""]]}

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314,178 Images 18_Gestures Recognition Data

multiple scenes

18 gestures

5 shooting angels

multiple ages

multiple light conditions

gesture recognition

21 gestural landmarks annotation

314,178 Images 18_Gestures Recognition Data. This data diversity includes multiple scenes, 18 gestures, 5 shooting angels, multiple ages and multiple light conditions. For annotation, gesture 21 landmarks (each landmark includes the attribute of visible and visible), gesture type and gesture attributes were annotated. This data can be used for tasks such as gesture recognition and human-machine interaction.

This is a paid datasets for commercial use, research purpose and more. Licensed ready made datasets help jump-start AI projects.

Specifications

Data size

314,178 images, 18 gestures

Population distribution

the race distribution is yellow race, the gender distribution is male and female, the age distribution is mainly young and middle-aged

Collection environment

indoor scenes and outdoor scenes (natural scenery, roadside street view, square, etc.)

Data diversity

multiple scenes, 18 gestures, 5 shooting angels, multiple ages, multiple light conditions

Collection device

cellphone

Image parameter

the image format is .jpg, the annotated file format is .json

Annotation content

21 landmarks annotation (each landmark includes the attribute of visible and visible), gesture type annotation, gesture attributes annotation

Accuracy

the accuracy of gesture landmarks annotation is not less than 95%; the accuracies of gesture type and gesture attributes are not less than 95%

Sample

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74afa7ac-7ce6-42b8-841a-e90fa6055f04

1c1e72c6-5617-453d-948f-0b794cbcd181

314,178 Images 18_Gestures Recognition Data

multiple scenes 18 gestures 5 shooting angels multiple ages multiple light conditions gesture recognition 21 gestural landmarks annotation

multiple scenes

18 gestures

5 shooting angels

multiple ages

multiple light conditions

gesture recognition

21 gestural landmarks annotation