2,255 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 2,255 images of 451 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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Specifications

Data size

451people, 5 images for each person

Collection environment

Office, coffee shop, supermarket, apartment

Race distribution

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

Gender distribution

226 males, 225 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%

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2,255 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 2,255 images of 451 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.

Current Project Maturity

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