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.

This is a paid datasets for commercial use, research purpose and more. Licensed ready made datasets help jump-start AI projects.

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%

What types of computer vision applications can Nexdata’s datasets support?

Nexdata’s computer vision datasets support a wide range of AI applications, including image classification, object detection, image segmentation, facial and human-related recognition, scene understanding, autonomous driving, and other visual perception tasks. Depending on the dataset, data may include images, videos, bounding boxes, polygons, keypoints, segmentation masks, text annotations, and other structured labels.

Can Nexdata customize Computer Vision datasets based on our specific requirements?

Yes. If our off-the-shelf Computer Vision datasets do not fully meet your requirements, Nexdata provides flexible custom data collection, annotation, and curation services. We can customize data based on your target objects, environments, scenarios, camera specifications, geographic locations, data volume, annotation formats, and quality standards to support specific model training and evaluation needs.

How does Nexdata ensure the quality and scalability of its Computer Vision datasets?

Nexdata applies multi-stage quality control throughout data collection, annotation, validation, and delivery. Depending on project requirements, we can implement customized annotation guidelines, multi-level reviews, consistency checks, and quality sampling to ensure dataset accuracy and consistency. Our data collection and processing capabilities can also be scaled to support large-volume Computer Vision projects.

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