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.
For more details, please refer to the link: https://www.nexdata.ai/datasets/computervision/972?source=Github
558,870 videos, 219,660 videos were collected by laptop, 339,210 videos were collected by cellphone or iPad
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
including indoor scenes and outdoor scenes (natural scenery, street view, square, etc.)
including multiple scenes, 50 types of dynamic gestures, 5 photographic angles, multiple light conditions, different photographic distances
cellphone, iPad, laptop
front, left, right, up and down
0.3m, 0.6m, 1m, 2m, 3m
the video data format is .mp4, .mov, .wmv
dynamic gestures of the left and right hand were collected at 5 photographic angles respectively
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%
Commercial License