Skip to content

Nexdata-AI/602-People-3010-Images-Multi-Races-Human-Body-Semantic-Segmentation-Data

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

3 Commits
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

602-People-3010-Images-Multi-Races-Human-Body-Semantic-Segmentation-Data

Description

602 People –3,010 Images Multi-Races Human Body Semantic Segmentation Data,The data diversity includes headphones, body, background,and glasses.In terms of annotation, we adpoted segmentation annotations on headphones, body, background and glasses.The data can be used for tasks such as human body segmentation and the behavior detection of Video conference.

For more details, please refer to the link: https://www.nexdata.ai/datasets/computervision/1181?source=Github

Data size

602 people, 5 images for each person

Collection environment

Office, coffee shop, supermarket, apartment

Race distribution

151 Asian people, 151 black people, 150 Caucasians people, 150 brown people ,ranging from teenager to middle-aged people, (Aged between 16 and 60)

Gender distribution

301 males, 301 females

Data diversity

different poses, different ages, different races, different collection backgrounds

Device

computer, cellphone

Collecting angles

eye-level angle

Data format

the image data format is .jpg, the annotation file (mask) format is .png

Annotation content

segmentation annotation of headphones, body, background, glasses

Accuracy

based on the accuracy of the actions, the accuracy is more than 97%; Accuracy of semantic

Licensing Information

Commercial License