9,181 People 59,490 Images Cross-age Faces Data

Cross-age

human faces

several images for one person

different ages

indoor and outdoor scenes

Asian

cross-age face recognition

9,181 People 59,490 Images Cross-age Faces Data. The data includes indoor and outdoor scenes. The dataset includes female and male (Asian). For most people, the age spans are 10 years at least, the age spans of only a few people are less than 10 years (128 people). For each person, at least 4 front side images were collected. The data can be used for tasks such as cross-age face recognition.

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

Specifications

Data size

9,181 people, 59,490 images

Population distribution: race distribution

Asian; gender distribution: : 5,097 females, 4,084 males

Environment

indoor and outdoor scenes

Diversity

several images for one person, different scenes, different age periods

Device

cellphone

Format

the image data format is .jpg, .png or .jpeg, the annotation file format is .json

Collection content

the front side of the people faces in different ages were collected

Annotation content

the human face bounding boxes were annotated for each subject

Accuracy

the accuracy exceeds 97% based on the accuracy of the sharpness and age group; the bounding box of face is qualified when the deviation is not more than 3 pixels, and the qualified rate of the bounding box shall not be lower than 97%

Recommended Dataset

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.rnEach 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

4,866 People Large-angle and Multi-pose Faces Data

4,866 People Large-angle and Multi-pose Faces Data. Each subject were collected 60 images under different scenes and light conditions. This data can be used for face recognition related tasks.

Multiple light conditions Multi-pose Multi scenes Face Recognition

10 People - 3D&2D Living_Face & Anti_Spoofing Data

10 People - 3D&2D Living_Face & Anti_Spoofing Data. The collection scenes is indoor scenes. The dataset includes males and females. The age distribution ranges from juvenile to the elderly, the young people and the middle aged are the majorities. The device includes iPhone X, iPhone XR. The data diversity includes various expressions, facial postures, anti-spoofing samples, multiple light conditions, multiple scenes. This data can be used for tasks such as 3D face recognition, 3D Living_Face & Anti_Spoofing.

3D&2D Living_Face & Anti_Spoofing various expressions facial postures anti-spoofing samples multiple light conditions multiple scenes 3D mask

5,172 People - Multi-race Juvenile and Multi-pose Facial Images

5,172 People - Multi-race Juvenile and Multi-pose Facial Images. This data includes black people, Caucasian people and brown people. Each subject was collected 10 images. (The 10 images include 10 photos in different lighting, different face poses and different collection environments). This data can be used for face recognition related tasks.

Different face poses and races Different ages Different lighting Different collection environments

5,993 People – Infrared Face Recognition Data

5,993 People – Infrared Face Recognition Data. The collecting scenes of this dataset include indoor scenes and outdoor scenes. The data includes male and female. The age distribution ranges from child to the elderly, the young people and the middle aged are the majorities. The collecting device is realsense D453i. The data diversity includes multiple age periods, multiple facial postures, multiple scenes. The data can be used for tasks such as infrared face recognition.

infrared face recognition indoor scenes outdoor scenes realsense D453i multiple age periods multiple facial postures multiple scenes

10,543 People - Face Recognition Data at Ticket Gate

10,543 People - Face Recognition Data at Ticket Gate, for each subject, 4 images were collected. The dataset diversity includes different shooting heights, different ages, different light conditions and scenes.This data can be applied to computer vision tasks such as face detection and recognition.

Different shooting heights Different ages Different light conditions and scenes