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

1,196 People Multi-race and Multi-pose Face Images & Videos Data

Multiple poses
Face recognition
Multiple races data

1,196 People Multi-race and Multi-pose Face Images & Videos Data, 22 images and 40 videos per person. The collection environment includes indoor and outdoor scenes. This data can be used for face recognition and other tasks.

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
1,196 people, 22 images and 40 videos per person
Race distribution
184 black people, 189 Caucasian people, 525 Asian people and 298 Indian people
Gender distribution
585 males, 611 females
Age distribution
ranging from teenager to the elderly, the middle-aged and young people are the majorities
Collecting environment
including indoor and outdoor scenes
Data diversity
different face poses, races, ages, light conditions and scenes
Device
camera, video camera, cellphone, iPad
Data format
jpg, mov, .mp4
Accuracy
the accuracy of labels of face pose, head pose, race, gender and is are more than 97%
Sample Sample
  • Waiting For Data
Recommended DatasetsRecommended Dataset
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
23 Pairs of Identical Twins Face Image Data

23 Pairs of Identical Twins Face Image Data. The collecting scenes includes indoor and outdoor scenes. The data diversity includes multiple face angles, multiple face postures, close-up of eyes, multiple light conditions and multiple age groups. This dataset can be used for tasks such as twins' face recognition.

Identical twins face image data Asian people multiple face angles multiple face postures close-up of eyes multiple light conditions multiple age groups Asiann gemini pair couple matches two brace pairs deuce double doubles duality twin match combine twosome duo dyad mates duet duplicate gemini the twins similitude yoke binaries counterparts mate analogs counterpart couples doublets look-alike parallel span deuces mirror images brothers clone duplexes nuts rocks alter egos balls clones combo doublet dyads equivalents join pair-offs plums
1,003 People - Emotional Video Data

Emotional Video Data,including multiple races, multiple indoor scenes, multiple age groups, multiple languages, multiple emotions (11 types of facial emotions, 15 types of inner emotions). For each sentence in each video, annotated emotion types (including facial emotions and inner emotions), start & end timestamp, text transcription.This dataset can be used for tasks such as emotion recognition and sentiment analysis, enhancing model performance in real and complex tasks.rnQuality tested by various AI companies. 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.

Emotional video multiple races multiple indoor scenes multiple age groups multiple languages multiple emotions 11 types of facial emotions 15 types of inner emotions feeling passion sentiment excitement sensation affection intensity ardor sensibility fervor vehemence love response warmth zeal emotional pathos agitation spirit affectivity enthusiasm fervency perturbation impression sympathy sadness sentimentality thrill eagerness poignancy commotion emotionalism fire soul animation emotionality responsiveness sensitiveness disturbance energy expression tenderness pitifulness plaintiveness poignance sentiments vibes anger empathy feelings
28,565 People Multi-race 7 Expressions Recognition Data

28,565 People Multi-race 7 Expressions Recognition Data. 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. For each person, 7 images were collected. The data diversity includes different facial postures, different expressions, different light conditions and different scenes. The data can be used for tasks such as face expression recognition.

different expressions different light conditions different scenes face expression recognition
1,995 People Face Images Data (Asian race)

1,995 People Face Images Data (Asian race). For each subject, more than 20 images per person with frontal face were collected. This data can be used for face recognition and other tasks.

Human Face Multiple Images per person Asian race
1,507 People 102,476 Images Multi-pose and Multi-expression Face Data

1,507 People 102,476 Images Multi-pose and Multi-expression Face Data. The data includes 1,507 Asians (762 males, 745 females). For each subject, 62 multi-pose face images and 6 multi-expression face images were collected. The data diversity includes multiple angles, multiple poses and multple light conditions image data from all ages. This data can be used for tasks such as face recognition and facial expression recognition.

Multiple face poses Multiple expressions Different ages Different light conditions Different scenes
110 People – Human Face Image Data with Multiple Angles, Light Conditions, and Expressions

The 110 People – Human Face Image Data is gathered through camera shot involving 110 native speakers, developed with a proper balance of gender ratio and age group distribution covering major colour tones human race. 2100 pictures per person with glasses, expressions, camera shooting angle, and lighting conditions. All Attributes are annotated, including gender, age, expression, etc. The overall accuracy rate is ≥ 97%.rn

Face Multiple angles Multiple expressions Multiple races 2 100 images per person Asian Face shot Data Asian Face shot dataset Europe front Image Data Europe front Image dataset Europe front Picture Data Europe front Picture dataset
Tell Us Your Special Needs

By submitting, I agree to the Privacy Protection

57d1ff3e-cc4d-4366-b7a7-409bad2454bb

56001499-d869-4bd2-b466-e134d767de2e