off-the-shelf datasets, dataset provider 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

m.nexdata.datatang.com

Home > All Category Datasets > Computer Vision Datasets > 500,605 Individual Face Images Dataset – Multi-Race & Multi-Age

500,605 Individual Face Images Dataset – Multi-Race & Multi-Age

face recognition dataset
individual face images dataset
multi-age face dataset
AI facial recognition training dataset
indoor outdoor face images dataset
facial posture variation dataset
biometric face dataset
computer vision face dataset

This dataset contains 500,605 individual face images, with each person represented by a single image. The race distribution includes Asian, Black, Caucasian and Brown individuals, the age distribution is ranging from infant to the elderly, the middle-aged and young people are the majorities. Images were collected in both indoor and outdoor environments, capturing diverse facial expressions, postures, and lighting conditions. The data can be used for tasks such as face recognition, biometric authentication, and computer vision model training. We strictly adhere to data protection regulations and privacy standards, ensuring the maintenance of user privacy and legal rights throughout the data collection, storage, and usage processes, our datasets are all GDPR, CCPA, PIPL complied.

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
500,605 images, one person have one face image
Poplution distribution
race distribution: 82,991 Asians, 18,014 Blacks, 399,383 Caucasians, 217 Brown people; gender distribution: 216,297 males, 284,308 females; age distribution: ranging from infant to the elderly, the middle-aged and young people are the majorities
Collecting environment
indoor scenes, outdoor scenes
Data diversity
multiple age periods, multiple scenes, multiple facial postures, multiple expressions
Device
cellphone, camera
Data format
the image data format is .jpg
the image data format is .jpg
label the person – ID, nationality, gender, age group
Accuracy rate
the accuracy of label annotation is not less than 95%
Sample Sample
  • 500,605 Individual Face Images Dataset – Multi-Race & Multi-Age
  • 500,605 Individual Face Images Dataset – Multi-Race & Multi-Age
  • 500,605 Individual Face Images Dataset – Multi-Race & Multi-Age
Recommended DatasetsRecommended Dataset
30,696 Pairs – Portrait Retouching Before & After Image Dataset

This dataset collection scenarios include indoor and outdoor scenes, the country distribution is Algeria, Egypt, Hungary, Poland, and Japan. Data types include portrait photos and wedding photos. In terms of data annotation, detailed retouching and annotationing are performed on the collected studio portrait data. The data can be used for tasks such as raining models for portrait retouching, photo editing, and studio photography applications.

portrait retouching dataset before after portrait images studio portrait retouching dataset portrait segmentation dataset wedding photo retouch dataset PS retouching dataset AI portrait editing dataset image retouching training dataset
4,484 People – Multi-Race Infrared Face Recognition Dataset

The collecting scenes of this dataset include indoor scenes and outdoor scenes. The data includes male and female. The race distribution includes Asian, Black, Caucasian and Brown people. The age distribution ranges from children to elderly. The collecting device is DV-DH4,044S305AD. The data diversity includes multiple age periods, multiple facial postures, multiple scenes. The data can be used for tasks such as AI-based infrared facial recognition and biometric authentication. We strictly adhere to data protection regulations and privacy standards, ensuring the maintenance of user privacy and legal rights throughout the data collection, storage, and usage processes, our datasets are all GDPR, CCPA, PIPL complied.

infrared face recognition dataset multi-race face dataset thermal face recognition dataset AI face recognition training data multi-age face recognition datase biometric infrared dataset facial posture variation dataset computer vision face recognition dataset high-diversity face recognition dataset
Face Recognition Dataset – 10,109 People with Multi-angle Face Images and Demographic Labels

This large-scale face image dataset features 10,109 individuals from various countries and ethnic backgrounds. Each subject has been captured in multiple real-world scenarios, resulting in diverse facial images under varying angles, lighting conditions, and expressions. Detailed annotations include gender, race, and age, making the dataset suitable for tasks such as facial recognition, face clustering, demographic analysis, and machine learning model training. The dataset has been validated by multiple AI companies and proven to deliver strong performance in real-world applications. All data collection, storage, and processing strictly adhere to global data protection regulations, including GDPR, CCPA, and PIPL, ensuring legal compliance and privacy preservation.

face recognition dataset face image dataset demographic face data age gender race face dataset face dataset for AI face clustering dataset multi-ethnic face images large-scale face dataset human face dataset
4,290 Images – Occluded Human Body Dataset for Detection and Segmentation

This dataset contains 4,290 occluded human body images. Each image contains 2-5 occluded human bodies. The age distribution is ranging from children to the elderly, the middle-aged and young people are the majorities. The race distribution is Asian. The data diversity includs multiple scenes, multiple age groups, multiple occluded between human bodies, multiple human body postures. The data can be used for tasks such as human body detection, occlusion recognition, person segmentation, and computer vision research tasks.

human body dataset occluded human body dataset occlusion dataset body detection dataset body segmentation dataset human occlusion detection dataset human posture dataset
Human Activity Recognition Dataset – 2,238 People, 23 Actions, Online Conference Scenes

This dataset collected from 2,238 people in online conference scenarios, Participants include Southeast Asians, Caucasian, Black, Brown individuals, mainly young and middle-aged people. Data was collected from a variety of indoor office scenes, covering meeting rooms, coffee shops, library, bedroom, etc. Each participant contributed 23 videos covering actions like opening the mouth, turning the head, closing the eyes, and touching the ears, with 4 images featuring variations such as wearing a mask and sunglasses.This dataset is suitable for tasks such as human activity recognition, human action recognition, human pose estimation, gesture recognition, mask detection, and AI applications in video conferencing and virtual meetings.

human action recognition dataset human activity recognition dataset human pose dataset gesture recognition dataset mask detection dataset
Facial Expression Recognition Dataset – 1,130 People, 7 Emotions, Online Conference Scenes

This dataset contains facial expression recognition data from 1,130 people in online conference scenes. Participants include Asian, Caucasian, Black, and Brown individuals, mainly young and middle-aged adults. Data was collected across a variety of indoor office scenes, covering meeting rooms, coffee shops, libraries , bedroom, etc., Each participant performed seven key expressions: normal, happy, surprised, sad, angry, disgusted, and fearful. The dataset is suitable for tasks such as facial expression recognition, emotion recognition, human-computer interaction, and video conferencing AI applications.

facial expression recognition dataset emotion recognition dataset facial expression dataset face emotion dataset
54,415 Videos – Micro-Expression Recognition Dataset with 57 Expression Types

The 54,415 Videos – Micro-Expression Dataset provides 57 types of subtle facial expressions across diverse populations and environments. Including Asian, Black, Caucasian and Brown individuals; age includes under 18, 18-45, 46-60, and over 60; collection environment includes indoor scenes and outdoor scenes; it can be used in various scenes such as facial recognition, emotion recognition and nonverbal behavior analysis.

micro expression dataset facial micro-expression recognition dataset diverse ethnicity face dataset subtle facial expressions dataset nonverbal behavior recognition dataset psychology micro-expression dataset
Masked Face Recognition Dataset with 6,502 People and 45K+ Images

This dataset contains facial images from 6,502 individuals, with 7 images collected for each person under diverse real-world conditions. The dataset covers various demographic characteristics, including different age groups and ethnic backgrounds,covering Asian(Cambodia,Indonesia,Korea,Philippines,Vietnam), Black, Caucasian, and other populations, as well as multiple environments such as indoor and outdoor scenes. It includes different mask types, facial occlusion conditions, and lighting variations. The dataset is suitable for masked face recognition, face verification and face identification.

masked face recognition dataset occluded face dataset gauze mask face dataset occluded face recognition data face dataset with masks face verification dataset
Tell Us Your Special Needs

Current Project Maturity

Early exploration (no concrete specs yet)
Defined goals, need professional guidance
Active development or optimization phase
Data & labeling experts with clear specifications

By submitting, I agree to the Privacy Protection

Submit

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.

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
Embodied AI Datasets
LLM Datasets
Computer Vision Datasets
Speech Recognition Datasets
Speech Synthesis Datasets
OCR Datasets
Pronunciation Dictionary
NLU 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
Embodied AI
Generative AI
Autonomous Vehicles
AR/VR
Conversational AI
Smart Home
Retail
Intelligent Healthcare
Company
About Us
News
Partners
Quality & Security
Event
Links
OPENMPD
DataPlus
Datarade
Platform
Platform
Competition
Competition
Resources
Sponsored Datasets
Nexdata.ai logo Sharpen Your AI with Better Data

+1(626)594-5598

[email protected]

nexdata_ai facebooknexdata_ai twitternexdata_ai linkedinnexdata_ai youtube
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.

a784b79a-5c7d-4230-9b92-ffe87d8a236a

a34ff89a-2870-442d-89c1-bfc5bdca55f6