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

1,003 People - Emotional Video Data

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

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.

Paid Datasets
This is a paid datasets for commercial use, research purpose and more. Licensed ready made datasets help jump-start AI projects.
SpecificationsSpecifications
Format
The video data format is .mp4, the annotation file format is .json;
Content category
Including multiple races, multiple indoor scenes, multiple age groups, multiple languages, multiple emotions (11 types of facial emotions, 15 types of inner emotions);
Recording condition
Indoor;
Recording device
Camera or smartphone;
Contributor
1,003 people, each person has one or several videos with multiple emotions; Race distribution: 232 people of Asian, 614 people of Caucasian, 157 people of black race; gender distribution: 410 people of male, 593 people of female; age distribution: 569 young people, 330 middle-aged people and 104 old-aged people;
Features of annotation
For each sentence in each video, annotated emotion types (including facial emotions and inner emotions), start & end timestamp, text transcription;
Accuracy Rate
Collecting accuracy: according to the 'collecting requirement', the collecting accuracy is over 97%; Label annotation accuracy: the accuracy of language, race, gender and age group labeling is over 97%; file annotation accuracy: the word accuracy rate of text transcription is over 85%;
Sample Sample
Recommended DatasetsRecommended Dataset
4,458 People - 3D Facial Expressions Recognition Data

4,458 People - 3D Facial Expressions Recognition Data. The collection scenes include indoor scenes and outdoor 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 different expressions, different ages, different races, different collecting scenes. This data can be used for tasks such as 3D facial expression recognition.

3D facial expressions recognition different expressions different ages different races different collecting scenes
5,199 People – 3D Face Recognition Images Data

5,199 People – 3D Face Recognition Images Data. The collection scene is indoor scene. 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 multiple facial postures, multiple light conditions, multiple indoor scenes. This data can be used for tasks such as 3D face recognition.

3D Face Recognition multiple facial postures multiple light conditions multiple indoor scenes
11,113 People - Face Recognition Data with Gauze Mask

11,113 People - Face Recognition Data with Gauze Mask, for each subject, 7 images were collected. The dataset diversity includes multiple mask types, multiple ages, multiple races, multiple light conditions and scenes.This data can be applied to computer vision tasks such as occluded face detection and recognition.

Face recognition Face occlusion Frontal face Gause mask
2,937 People with Occlusion and Multi-pose Face Recognition Data

2,937 People with Occlusion and Multi-pose Face Recognition Data, for each subject, 200 images were collected. The 200 images includes 4 kinds of light conditions * 10 kinds of occlusion cases (including non-occluded case) * 5 kinds of face pose. This data can be applied to computer vision tasks such as occluded face detection and recognition.rn

Face recognition Face occlusion Multi-pose per person Face with mask Multiple light conditions Multiplescenes blockage closure stoppage block stop obstruction blocking occluded front occlusive check closing embolism apoplexy shutdown hindrance blockade thrombosis impaction tampons arrest close congestion embolus fastener hitch obturation seal stopper abocclusion blocks clog clot clotting constipation holdup impediment occludent plug stoppages stopples stops tampon thrombus airlock barrier cap catch clogging cork plugging posture perplex puzzle mystify nonplus bewilder gravel flummox position baffle amaze dumbfound masquerade beat stick stupefy impersonate attitude place stance model present affectation mannerism attitudinize sit put submit show airs front propose suggest pretense propound affectedness raise strike a pose constitute facade personate show off advance pretend act bluff arrange put on airs peacock posing confront look meet front facing surface encounter side brave grimace experience visage address veneer countenance tackle cover oppose confronting defy expression aspect appearance cheek watch challenge nerve font overlook endure withstand suffer brass cope with dial head exterior typeface handle undergo be facing facade face up facial expression physiognomy beard boldness outside deal faces
4,082 Families-Family Face Data

4,082 Families-Family Face Data. The data includes various scenee, different families and 11 kinds of kinship pairs. One family photo was collected for each family, each family includes three family members at least. 11 kinds of kinship pairs, key points of two pupils, and bounding box of face were annotated. The data can be used for tasks such as kinship verification, searching for missing family members and organizing family photo albums.

family face 11 kinds of kinship pairs different families family image direct relative pairs key points of two pupils bounding box of face kinship verification searching for missing family members organizing family photo albums and genealogy research
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
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
Tell Us Your Special Needs

By submitting, I agree to the Privacy Protection

111413f7-633a-4fd0-9270-9716c3b4a6aa

27a612f2-a528-4658-b50d-f3df0af8f475