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Home > All Category Datasets > Computer Vision Datasets > 3,010 Images – Multi-Race Human Body Semantic Segmentation Dataset

3,010 Images – Multi-Race Human Body Semantic Segmentation Dataset

human body segmentation dataset
semantic segmentation dataset human
multi-race human dataset
human parsing dataset
video conference dataset
body part segmentation dataset
human behavior recognition dataset
annotated human dataset

This dataset includes 3,010 images of 602 people across multiple races. The semantic segmentation area includes headphones, glasses, body and background.This dataset can be used for training AI models in human body segmentation, video conference behavior detection, and smart vision applications.

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SpecificationsSpecifications
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 segmentation annotation: for each object, the mask edge location errors in x and y directions are less than 5 pixels, and the category label was correctly labeled, which were considered as a qualified annotation; Annotation accuracy: each object is regarded as the unit, annotation accuracy is more than 97%
Sample Sample
  • 3,010 Images – Multi-Race Human Body Semantic Segmentation Dataset
  • 3,010 Images – Multi-Race Human Body Semantic Segmentation Dataset
  • 3,010 Images – Multi-Race Human Body Semantic Segmentation Dataset
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