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

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

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

Multiple poses Face recognition Multiple races data

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

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

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

Multi-race

infrared face

binocular camera

multiple age periods

multiple facial postures

multiple scenes