602 People –3,010 Images Multi-Races Human Body Semantic Segmentation Data

{"id":1181,"datatype":"1","titleimg":"https://bj-oss-datatang-03.oss-cn-beijing.aliyuncs.com/asset/productNew/Asian_G00001_1.jpg?Expires=4102358399&OSSAccessKeyId=LTAI8NWs2pDolLNH&Signature=qAR%2F8%2BSo%2B0uvc3W5wHy%2BQWgWaYI%3D","type1":"147","type1str":null,"type2":"147","type2str":null,"dataname":"602 People –3,010 Images Multi-Races Human Body Semantic Segmentation Data","datazy":[{"title":"Data size","value":"602 people, 5 images for each person"},{"title":"Collection environment","value":"Office, coffee shop, supermarket, apartment"},{"title":"Race distribution","value":"151 Asian people, 151 black people, 150 Caucasians people, 150 brown people ,ranging from teenager to middle-aged people, (Aged between 16 and 60)"},{"title":"Gender distribution","value":"301 males, 301 females"},{"title":"Data diversity","value":"different poses, different ages, different races, different collection backgrounds"},{"title":"Device","value":"computer, cellphone"},{"title":"Collecting angles","value":"eye-level angle"},{"title":"Data format","value":"the image data format is .jpg, the annotation file (mask) format is .png"},{"title":"Annotation content","value":"segmentation annotation of headphones, body, background, glasses"},{"title":"Accuracy","value":"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%"}],"datatag":"Human body segmentation,Different poses,Different ages,Different races,Different collection backgrounds","technologydoc":null,"downurl":null,"datainfo":"","standard":null,"dataylurl":null,"flag":null,"publishtime":null,"createby":null,"createtime":null,"ext1":null,"samplestoreloc":null,"hosturl":null,"datasize":null,"industryPlan":null,"keyInformation":["multiple races","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%."],"samplePresentation":[["jpg","https://bj-oss-datatang-03.oss-cn-beijing.aliyuncs.com/filesInfoUpload/data/apps/damp/temp/ziptemp/APY220628001_demo1712570404821/APY220628001_demo/1.png?Expires=4102329599&OSSAccessKeyId=LTAI8NWs2pDolLNH&Signature=P%2F5hYNFsZdPWjVuDcKMzrEkyDuU%3D","/data/apps/damp/temp/ziptemp/APY220628001_demo1712570404821/APY220628001_demo/1.png",""],["jpg","https://bj-oss-datatang-03.oss-cn-beijing.aliyuncs.com/filesInfoUpload/data/apps/damp/temp/ziptemp/APY220628001_demo1712570404821/APY220628001_demo/4.png?Expires=4102329599&OSSAccessKeyId=LTAI8NWs2pDolLNH&Signature=LaaIVcF4mOBrBNRdUXdcl5m00Yg%3D","/data/apps/damp/temp/ziptemp/APY220628001_demo1712570404821/APY220628001_demo/4.png",""],["jpg","https://bj-oss-datatang-03.oss-cn-beijing.aliyuncs.com/filesInfoUpload/data/apps/damp/temp/ziptemp/APY220628001_demo1712570404821/APY220628001_demo/3.png?Expires=4102329599&OSSAccessKeyId=LTAI8NWs2pDolLNH&Signature=Gmyem%2BsDGl%2Fh5E%2BmlljFm%2BhCr1M%3D","/data/apps/damp/temp/ziptemp/APY220628001_demo1712570404821/APY220628001_demo/3.png",""]],"officialSummary":"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.","dataexampl":"","datakeyword":"Human body segmentation, different poses, different ages, different races, different collection backgrounds,different scenes.","isDelete":null,"ids":null,"idsList":null,"datasetCode":null,"productStatus":null,"tagTypeEn":"Task Type,Modalities","tagTypeZh":null,"website":null,"samplePresentationList":null,"datazyList":null,"keyInformationList":null,"dataexamplList":null,"bgimg":null,"datazyScriptList":null,"datakeywordListString":null,"sourceShowPage":"computer","BGimg":"","voiceBg":["/shujutang/static/image/comm/audio_bg.png","/shujutang/static/image/comm/audio_bg2.png","/shujutang/static/image/comm/audio_bg3.png","/shujutang/static/image/comm/audio_bg4.png","/shujutang/static/image/comm/audio_bg5.png"],"single":"no","firstList":[["jpg","https://bj-oss-datatang-03.oss-cn-beijing.aliyuncs.com/filesInfoUpload/data/apps/damp/temp/ziptemp/APY220628001_demo1712570404821/APY220628001_demo/5.png?Expires=4102329599&OSSAccessKeyId=LTAI8NWs2pDolLNH&Signature=EvCqsOrkGJjU2USkIiZ0Ay4fkm8%3D","/data/apps/damp/temp/ziptemp/APY220628001_demo1712570404821/APY220628001_demo/5.png",""]]}

Off-the-Shelf Datasets

Computer Vision Datasets

Speech Recognition Datasets

Speech Synthesis Datasets

OCR Datasets

Pronunciation Dictionary

NLU Datasets

LLM Datasets

Off-the-Shelf Datasets

The current training dataset database of DataTang includes over 200,000 hours of speech recognition data, 800TB of computer vision data, and 2 billion pieces of natural language understanding data. The data quality has been proven and trusted by top AI companies worldwide.
Learn More
Data Service

3D Point Cloud Data

Street View Data

OCR Data

Behavior Recognition Data

Identity Recognition Data

Speech Recognition Data

Speech Synthesis Data

Multimodal Data

Data Service

Besides professional data collection equipment and tools, Datatang has also built three large-scale data processing centers. We provide professional support for tailored data collection and annotation services to meet customers' diverse needs for data customization applied in various scenarios.
Learn More
Industries

Autonomous Vehicles

Games & Entertainment

Conversational AI

Smart Home

Retail

Intelligent Healthcare

Industries

Discover our ability to empower diverse industries with our decade-long experience in training data services!
Learn More
Annotation Platform
Company

About Us

News

Partners

Contact

en

Please fill in your name

Mobile phone format error

Please enter the telephone

Please enter your company name

Please enter your company email

Please enter the data requirement

Successful submission! Thank you for your support.

Format error, Please fill in again

Confirm

The data requirement cannot be less than 5 words and cannot be pure numbers

https://www.datatang.com/

https://www.datatang.ai/

m.datatang.ai

1181

_AI数据集产品_数据堂

602 People –3,010 Images Multi-Races Human Body Semantic Segmentation Data_602 People –3,010 Images Multi-Races Human Body Semantic Segmentation Data

602 People –3,010 Images Multi-Races Human Body Semantic Segmentation Data

Licensed Off-the-shelf Datasets to Boost AI Projects Development.

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.

Ask For a Quote Get Data Sample

Specifications

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%

The explicitly authorized and high-quality training dataset of the acquiree helps you start your AI project quickly

Get Started Now

Recommended Dataset

15 People - 22 Landmarks Annotation Data of 3D Human Body

15 People - 22 Landmarks Annotation Data of 3D Human Body

25,080 Images – Alpha Matte Human Body Segmentation Data (Basic Version)

25,080 Images – Alpha Matte Human Body Segmentation Data (Basic Version)

21,300 Images - Human Body Segmentation Data

21,300 Images - Human Body Segmentation Data

34,981 Images – Alpha Matte Human Body Segmentation Data (Fine Version)

34,981 Images – Alpha Matte Human Body Segmentation Data (Fine Version)

Sharpen Your AI with Better Data

Off-the-Shelf Datasets: Computer Vision Datasets; Speech Recognition Datasets; Speech Synthesis Datasets; OCR Datasets; Pronunciation Dictionary; NLU Datasets; LLM Datasets

Data Service: 3D Point Cloud Data; Street View Data; OCR Data; Behavior Recognition Data; Identity Recognition Data; Speech Recognition Data; Speech Synthesis Data; Multimodal Data

Industries: Autonomous Vehicles; Games & Entertainment; Conversational AI; Smart Home; Retail; Intelligent Healthcare

Annotation Platform: Annotation Platform

Resources: Open Datasets; Quality & Security

Links: OPENMPD; Data Plus; Datatang.jp

Contact Us: +1(626)594-5598; [email protected]

Sitemap Terms and Conditions

Copyright © 2023 DATATANG TECHNOLOGY INC
Public Network Security Record No. 11010802026079, Beijing

We use cookies to enhance your browsing experience, serve personalized ads or content, and analyze our traffic. By clicking "Accept All", you consent to our use of cookies.

数据亮点

602 People –3,010 Images Multi-Races Human Body Semantic Segmentation Data

*姓名：

*手机：

*公司名称：

*企业邮箱：

*需求：

602 People –3,010 Images Multi-Races Human Body Semantic Segmentation Data