180,717 Images - Sign Language Gestures Recognition Data

Sign language gestures

multiple scenes

static gestures

dynamic gestures

multiple photographic angles

multiple light conditions

21 landmarks

gesture type

gesture attributes

180,717 Images - Sign Language Gestures Recognition Data. The data diversity includes multiple scenes, 41 static gestures, 95 dynamic gestures, multiple photographic angles, and multiple light conditions. In terms of data annotation, 21 landmarks, gesture types, and gesture attributes were annotated. This dataset can be used for tasks such as gesture recognition and sign language translation.

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Specifications

Data size

180,717 images, including 83,012 images of static gestures, 97,705 images of dynamic gestures

Population distribution

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

Collection environment

including indoor scenes and outdoor scenes

Collection diversity

including multiple scenes, 41 static gestures, 95 dynamic gestures, multiple photographic angles, multiple light conditions

Device

cellphone

Data forma

the image data format is .jpg, the annotation file format is .json

Collecting content

sign language gestures were collected in different scenes

Annotation content

21 landmarks annotation (each landmark includes the attribute of visible or invisible), gesture type annotation, gesture attributes annotation (left hand or right hand)

Accuracy

accuracy requirement: the point location errors in x and y directions are less than 3 pixels, which is considered as a qualified annotation; accuracy of landmark annotation: the annotation part (each landmark) is regarded as the unit, the accuracy rate shall be more than 95%

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