Nexdata.ai logo
Customer service
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

Home > Off-the-shelf Datasets > > 50,356 Images - Human Body Segmentation and 18 Landmarks Data

50,356 Images - Human Body Segmentation and 18 Landmarks Data

Human body segmentation
Landmark
Multiple races
Multiples postures
Multiple scenes

50,356 Images - Human Body Segmentation and 18 Landmarks Data. The data diversity includes multiple scenes, ages, races, poses, and appendages. In terms of annotation, we adpoted segmentation annotations on human body and appendages.18 landmarks were also annotated for each human body. The data can be used for tasks such as human body segmentation and human behavior recognition.

Paid Datasets
This is a paid datasets for commercial use, research purpose and more. Licensed ready made datasets help jump-start AI projects.
SpecificationsSpecifications
Data size
50,356 images
Race distribution
18,458 images of Asians, 27,191 images of Caucasians, 4,707 images of black race
Gender distribution
18,381 images of male, 31,975 images of female
Age distribution
young: 5,196 image; middle aged and young: 44,751 images; middle aged and elderly: 409 images
Collecting environment
including indoor scenes and outdoor scenes (such as natural scenery, street, square, architecture, etc.)
Data diversity
multiple scenes, ages, races, poses, and appendages
Data format
the image data format is .jpg and .png, the annotation file format is .json
Annotation content
segmentation annotation of human body and appendages, 18 landmarks annotation of human body
Accuracy
the mask edge location errors in x and y directions are less than 3 pixels, which is considered as a qualified annotation; Accuracy requirement of segmentation annotation: the annotation part (each part of mask) is regarded as the unit, the accuracy rate shall be more than 97%; Accuracy requirement of landmark annotation: the annotation part (each landmark) is regarded as the unit, the accuracy rate shall be more than 97%;
Sample Sample
  • 50,356 Images - Human Body Segmentation and 18 Landmarks Data
  • 50,356 Images - Human Body Segmentation and 18 Landmarks Data
  • 50,356 Images - Human Body Segmentation and 18 Landmarks Data
Recommended DatasetsRecommended Dataset
15 People - 22 Landmarks Annotation Data of 3D Human Body

15 People - 22 Landmarks Annotation Data of 3D Human Body. The dataset diversity includes multiple scenes, different ages, different costumes, different human body sitting postures. In terms of annotation, we annotate the 2D and 3D coordinates of the 22 landmarks of the human body, landmark attributes, the rectangular frame of the human body. The dataset can be used for tasks such as human body instance segmentation and human behavior recognition.

Human body instance segmentation Human body landmarks 3D Multiple poses Multiple scenes
25,080 Images – Alpha Matte Human Body Segmentation Data (Basic Version)

25,080 Images – Alpha Matte Human Body Segmentation Data. The data includes indoor scenes and outdoor scenes. The dataset diversity includes multiple scenes, multiple age groups, multiple human body angles, multiple postures. In terms of annotation, alpha matte segmentation annotation was adopted for the human body. The data can be used for tasks such as alpha matte human body segmentation.

Alpha matte human body segmentation multiple scenes multiple age groups multiple human body angles multiple postures
602 People –3,010 Images Multi-Races Human Body Semantic Segmentation Data

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.

Human body segmentation different poses different ages different races different collection backgrounds different scenes.
21,300 Images - Human Body Segmentation Data

21,300 Images - Human Body Segmentation Data. The data includes indoor scenes and outdoor scenes. The data covers female people and male people. The race distribution includes Asian, black race and Caucasian. The age distribution ranges from teenager to the elderly, the middle-aged and young people are the majorities. The dataset diversity includes multiple scenes, ages, races, postures, and appendages. In terms of annotation, we adpoted pixel-wise segmentation annotations on human body. The data can be used for tasks such as human body segmentation.

Multiple scenes Multiple ages Multiple races Multiple postures Multiple appendages
34,981 Images – Alpha Matte Human Body Segmentation Data (Fine Version)

34,981 Images – Alpha Matte Human Body Segmentation Data. The data includes indoor scenes and outdoor scenes. The dataset diversity includes multiple scenes, multiple age groups, multiple human body angles, multiple postures. In terms of annotation, alpha matte segmentation annotation was adopted for the human body. The data can be used for tasks such as alpha matte human body segmentation.

Alpha matte human body segmentation multiple scenes multiple age groups multiple human body angles multiple postures
144,810 Images Multi-class Fashion Item Detection Data

144,810 Images Multi-class Fashion Item Detection Data. In this dataset, 19,968 images of male and 124,842 images of female were included. The Fashion Items were divided into 4 parts based on the season (spring, autumn, summer and winter). In terms of annotation, rectangular bounding boxes were adopted to annotate fashion items. The data can be used for tasks such as fashion items detection, fashion recommendation and other tasks.

Fashion Item Detection Multiple scenes Different seasons Different races
18,880 Images of 466 People - 3D Instance Segmentation and 22 Landmarks Annotation Data of Human Body

18,880 Images of 466 People - 3D Instance Segmentation and 22 Landmarks Annotation Data of Human Body. The dataset diversity includes multiple scenes, light conditions, ages, shooting angles, and poses. In terms of annotation, we adpoted instance segmentation annotations on human body. 22 landmarks were also annotated for each human body. The dataset can be used for tasks such as human body instance segmentation and human behavior recognition.

Human body instance segmentation Human body landmarks 3D Multiple poses Multiple scenes
49,945 Images Human Costume & Apparel Accessory Segmentation Data

49,945 Images Human Costume & Apparel Accessory Segmentation Data. The gender distribution includes female and male, the race distribution is Asian, Caucasian and black race, the age distribution is teenager, young and middle-aged. The data diversity includes multiple scenes, multiple light conditions, multiple types of costume (upper garment, lower garment, and shoes), and multiple apparel accessories (bag, glasses, accessories, etc.). In terms of annotation, semantic segmentation of 47 categories object (including background, costume and apparel accessory) was adopted. The dataset can be used for tasks such as human costume & apparel accessory segmentation and fashion recommendation.

Human costume & apparel accessory segmentation multiple scenes multiple light conditions multiple types of costume multiple apparel accessories
Tell Us Your Special Needs

By submitting, I agree to the Privacy Protection

Submit
Subscribe to our newsletter

Be the first to receive Nexdata latest product releases, data solutions and enterprise news.

Off-the-Shelf Datasets
All Category 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
AR/VR
Conversational AI
Smart Home
Retail
Intelligent Healthcare
Generative AI
Company
About Us
News
partners
Quality & Security
Event
Links
OPENMPD
DataPlus
Annotation Platform
Annotation Platform
Resources
Sponsored Datasets
Nexdata.ai logo Sharpen Your AI with Better Data
+1(626)594-5598
[email protected]
Copyright © 2023 NEXDATA TECHNOLOGY INC
Sitemap  Terms and Conditions

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.

91e2b4c9-2293-439b-ae67-a24950e5bb26

0a378771-84ad-456f-b148-179c3d91db00