88,880 People Multi-race and Multi-pose Face Images Data

30,696 Pairs of Portrait Retouched Before and After Image Data

30,696 Pairs of Portrait Retouched Before and After Image Data. Data 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 studio portrait retouching, PS segmentation, and portrait segmentation.

Portrait data Retouch Comparison Photos

4,484 People Multi-race – Infrared Face Recognition Data

4,484 people multi-race – infrared face recognition data. 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 child to the elderly, the young people and the middle aged are the majorities. 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 infrared face recognition. 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.

Multi-race infrared face binocular camera multiple age periods multiple facial postures multiple scenes

500,605 Images - Individual Photo Face Data

500,605 Images - Individual Photo Face Data. One person have one face image. The race distribution includes Asian, Black, Caucasian and brown people, the age distribution is ranging from infant to the elderly, the middle-aged and young people are the majorities. The collection environment includes indoor and outdoor scenes. The data diversity includes multiple age periods, multiple scenes, multiple facial postures and multiple expressions. The data can be used for tasks such as face recognition. 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.

Million id foreign face single image

10,109 People - Face Images Dataset

10,109 people - face images dataset includes people collected from many countries. Multiple photos of each person’s daily life are collected, and the gender, race, age, etc. of the person being collected are marked.This Dataset provides a rich resource for artificial intelligence applications. It has been validated by multiple AI companies and proves beneficial for achieving outstanding performance in real-world applications. Throughout the process of Dataset collection, storage, and usage, we have consistently adhered to Dataset protection and privacy regulations to ensure the preservation of user privacy and legal rights. All Dataset comply with regulations such as GDPR, CCPA, PIPL, and other applicable laws.

Face detection Multi-pose face Head pose Face pose

4,290 Images – Occluded Human Body Collection Data

4,290 Images – Occluded Human Body Collection Data. There are 2-5 occluded human bodies for each images. 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 occluded human body detection and segmentation.

occluded human body indoor scenes outdoor scenes multiple scenes multiple age groups multiple occluded between human bodies multiple human body postures occluded human body detection and segmentation

2,341 People Human Action Data in Online Conference Scenes

2,341 people human action data in online conference scenes, including Asian, Caucasian, black, brown, mainly young and middle-aged people, collected a variety of indoor office scenes, covering meeting rooms, coffee shops, library, bedroom, etc. Each person collected 23 videos and 4 images. The videos included 23 postures such as opening the mouth, turning the head, closing the eyes, and touching the ears. The images included four postures such as wearing a mask and wearing sunglasses.

face multi-pose data face data set meeting scene face data collection

50 People – 3D Scanning Face Data

50 people – 3D scanning face data. The collection scene is indoor. The data covers males and females. The age distribution ranges from youth to old age, mainly young and middle-aged. The collection device is a special scanner. The data can be used for tasks such as 3D face recognition, 3D face modeling, etc.

Face recognition dataset face dataset 3D face data 3D face recognition Living_face & anti_spoofing data 3D scanning face 3D face modeling

3,919 People Multi-pose Faces Data

3,919 People Multi-pose Faces Data, 24 images and 9 videos per person. The collection environment includes indoor and outdoor scenes. This data can be used for face detection, face recognition and other tasks.

Multi-race Multiple light conditions Multi-pose Multi scenes Face Recognition

88,880 People Multi-race and Multi-pose Face Images Data

Multi-race Multi-pose Face

Multi-race

Multi-pose

Face