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

7,788 People 80,336 Images Cross-age Faces Data

cross-age
face data
several images for one person
different scenes
different ages

7,788 People 80,336 Images Cross-age Faces Data. The data includes several images for one person, different scenes(indoor and outdoor scenes) and different ages. The data covers male and female, each person has at least 7 images, the age span is from 2 to 52 years. 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
7,788 people, 80,336 images
Population distribution
race distribution: Asian; gender distribution: 2,345 males, 5,443 females
Collection environment
indoor and outdoor scenes
Collection diversity
several images for one person, different scenes, different ages, each person has at least 7 images, the age span is from 2 to 52 years
Collection device
cellphone
Image parameters
the image data format is .jpg, .png or .jpeg, the annotation file format is .json
Collection content
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
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
9,181 People 59,490 Images Cross-age Faces Data

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.

Cross-age human faces several images for one person different ages indoor and outdoor scenes Asian cross-age face recognition
26,090 images Human Facial Skin Defects Data

26,090 Images Human Facial Skin Defects Data. The data includes the following five types of facial skin defects: acne, acne marks, stains, wrinkles, and dark circles. This data can be used for tasks such as skin defects detection.

skin defects acne acne marks stains wrinkles dark circles
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
4,253 Pairs of Human Face Images – Before and After Makeup

4,253 Pairs of Human Face Images – Before and After Makeup. For each pair, one image without makeup and one image with makeup are included. This dataset can be used for tasks such as face recognition and makeup style analysis.

Face recognition Make-up image data facial data
29,523 People Face Recognition Data with Identification Photos

29,523 People Face Recognition Data with Identification Photos.The race distribution of data includes Asian race, Caucasian race, black race and brown race. For each subject, one ID photo and 5-10 life photos were collected. This data can be used for face recognition.

Multi-race Identification photo Life photo Face recognition
23,110 People Multi-race and Multi-pose Face Images Data

23,110 People Multi-race and Multi-pose Face Images Data. This data includes Asian race, Caucasian race, black race, brown race and Indians. Each subject were collected 29 images under different scenes and light conditions. The 29 images include 28 photos (multi light conditions, multiple poses and multiple scenes) + 1 ID photo. This data can be used for face recognition related tasks.

Multi-race Multiple light conditions Multi-pose Multi scenes Face Recognition
92,406 People Multi-race and Multi-pose Face Images Data

92,406 People Multi-race and Multi-pose Face Images Data, at least 20 images per person. This data includes Asian race, Caucasian race, black race, brown race and Indians. This data can be used for face recognition and other tasks.

Multi-race Multi-pose Face Face recognition
Tell Us Your Special Needs

By submitting, I agree to the Privacy Protection

c4774d49-b259-4647-92e3-d93c78af60a9

4dae5ad7-7150-4e79-8dd5-59fa82a5548d