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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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SpecificationsSpecifications
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%
Sample Sample
  • 180,717 Images - Sign Language Gestures Recognition Data
  • 180,717 Images - Sign Language Gestures Recognition Data
  • 180,717 Images - Sign Language Gestures Recognition Data
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