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Home > All Category Datasets > Computer Vision Datasets > 180,717 Images - Sign Language Gesture Images for Recognition & Translation

180,717 Images - Sign Language Gesture Images for Recognition & Translation

sign language gesture recognition dataset

static and dynamic gesture dataset

sign language translation dataset

hand gesture recognition dataset

AI dataset for gesture recognition

21 landmarks gesture annotation dataset

This dataset contains 180,717 images of sign language gestures, including 41 static gestures and 95 dynamic gestures. The data was captured from multiple scenes, multiple photographic angles and multiple light conditions. In terms of data annotation, each gesture is annotated with 21 landmarks, gesture types and attributes. This dataset can be used for tasks such as AI-based gesture recognition, sign language translation, human-computer interaction.

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

Specifications

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%

Sample

Sample

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