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558,870 Videos - 50 Types of Dynamic Gesture Recognition Data

Vehicle dynamic gesture data

home gesture data

gesture recognition data

21 key point gesture image data

static gesture data

dynamic gesture data

key point dataset

key point annotation

gesture key point dataset

558,870 Videos - 50 Types of Dynamic Gesture Recognition Data. The collecting scenes of this dataset include indoor scenes and outdoor scenes (natural scenery, street view, square, etc.). The data covers males and females. The age distribution ranges from teenager to senior. The data diversity includes multiple scenes, 50 types of dynamic gestures, 5 photographic angles, multiple light conditions, different photographic distances. This data can be used for dynamic gesture recognition of smart homes, audio equipments and on-board systems.

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

558,870 videos, 219,660 videos were collected by laptop, 339,210 videos were collected by cellphone or iPad

Population distribution

Asian, the gender distribution is male and female, the age distribution is under 18 years old, 18-40 years old, and over 40 years old

Collection environment

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

Data diversity

including multiple scenes, 50 types of dynamic gestures, 5 photographic angles, multiple light conditions, different photographic distances

Device

cellphone, iPad, laptop

Collecting angle

front, left, right, up and down

Collecting distance

0.3m, 0.6m, 1m, 2m, 3m

Data format

the video data format is .mp4, .mov, .wmv

Collecting content

dynamic gestures of the left and right hand were collected at 5 photographic angles respectively

Accuracy

based on the accuracy of the gesture actions, the accuracy exceeds 97%; the accuracy of the video naming exceeds 97%; the accuracy of labels annotation is not less than 97%

Sample

Sample

Waiting For Data

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2,341 People Gesture Recognition Data in Online Conference Scenes

2,341 People Gesture Recognition Data in Meeting Scenes includes Asians, Caucasians, blacks, and browns, and the age is mainly young and middle-aged. It collects a variety of indoor office scenes, covering meeting rooms, coffee shops, libraries, bedrooms, etc. Each person collected 18 pictures and 2 videos. The pictures included 18 gestures such as clenching a fist with one hand and heart-to-heart with one hand, and the video included gestures such as clapping.

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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.

Sign language gestures multiple scenes static gestures dynamic gestures multiple photographic angles multiple light conditions 21 landmarks gesture type gesture attributes

314,178 Images 18_Gestures Recognition Data

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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