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

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.

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
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%
Sample Sample
  • Waiting For Data
Recommended DatasetsRecommended Dataset
Tell Us Your Special Needs

By submitting, I agree to the Privacy Protection

dcc39716-a456-4cf7-a50e-b79c13deaad4

cc6acab8-2855-4477-a927-d60f867ab35b