314,178 Images 18_Gestures Recognition Data

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314,178 Images 18_Gestures Recognition Data_314,178 Images 18_Gestures Recognition Data

314,178 Images 18_Gestures Recognition Data

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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.

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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%

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314,178 Images 18_Gestures Recognition Data

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314,178 Images 18_Gestures Recognition Data