2,341 people human action data in online conference scenes, including Asian, Caucasian, black, brown, mainly young and middle-aged people, collected a variety of indoor office scenes, covering meeting rooms, coffee shops, library, bedroom, etc.rnEach person collected 23 videos and 4 images. The videos included 23 postures such as opening the mouth, turning the head, closing the eyes, and touching the ears. The images included four postures such as wearing a mask and wearing sunglasses.
For more details, please refer to the link: https://www.nexdata.ai/datasets/1290?source=Github
2,341 people, each person collects 23 videos and 4 images
786 Asians, 1,002 Caucasians, 401 black, 152 brown people
1,208 males, 1,133 females
from teenagers to the elderly, mainly young and middle-aged
indoor office scenes, such as meeting rooms, coffee shops, libraries, bedrooms, etc.
different facial multi-pose, different races, different age groups, different meeting scenes
cellphone, using the cellphone to simulate the perspective of laptop camera in online conference scenes
collecting the human behavior data in online conference scenes
.mp4, .mov, .jpg
the accuracy exceeds 97% based on the accuracy of the actions; the accuracy of action naming is more than 97%
Commercial License