off-the-shelf datasets, dataset provider logo
Customer service
Contact

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

Home > Off-the-shelf Datasets > Speech Recognition Datasets > 1,003 People - Emotional Video Data

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.Quality 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
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%.

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

4,484 people multi-race – infrared face recognition data. The collecting scenes of this dataset include indoor scenes and outdoor scenes. The data includes male and female. The race distribution includes Asian, Black, Caucasian and Brown people. The age distribution ranges from child to the elderly, the young people and the middle aged are the majorities. The collecting device is DV-DH4,044S305AD. The data diversity includes multiple age periods, multiple facial postures, multiple scenes. The data can be used for tasks such as infrared face recognition. 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.

Multi-race infrared face binocular camera multiple age periods multiple facial postures multiple scenes
500,605 Images - Individual Photo Face Data

500,605 Images - Individual Photo Face Data. One person have one face image. The race distribution includes Asian, Black, Caucasian and brown people, the age distribution is ranging from infant to the elderly, the middle-aged and young people are the majorities. The collection environment includes indoor and outdoor scenes. The data diversity includes multiple age periods, multiple scenes, multiple facial postures and multiple expressions. The data can be used for tasks such as face recognition. 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.

Million id foreign face single image
10,109 People - Face Images Dataset

10,109 people - face images dataset includes people collected from many countries. Multiple photos of each person’s daily life are collected, and the gender, race, age, etc. of the person being collected are marked.This Dataset provides a rich resource for artificial intelligence applications. It has been validated by multiple AI companies and proves beneficial for achieving outstanding performance in real-world applications. Throughout the process of Dataset collection, storage, and usage, we have consistently adhered to Dataset protection and privacy regulations to ensure the preservation of user privacy and legal rights. All Dataset comply with regulations such as GDPR, CCPA, PIPL, and other applicable laws.

Face detection Multi-pose face Head pose Face pose
4,290 Images – Occluded Human Body Collection Data

4,290 Images – Occluded Human Body Collection Data. There are 2-5 occluded human bodies for each images. The age distribution is ranging from children to the elderly, the middle-aged and young people are the majorities. The race distribution is Asian. The data diversity includs multiple scenes, multiple age groups, multiple occluded between human bodies, multiple human body postures. The data can be used for tasks such as occluded human body detection and segmentation.

occluded human body indoor scenes outdoor scenes multiple scenes multiple age groups multiple occluded between human bodies multiple human body postures occluded human body detection and segmentation
Tell Us Your Special Needs

By submitting, I agree to the Privacy Protection

Submit
Subscribe to our newsletter

Be the first to receive Nexdata latest product releases, data solutions and enterprise news.

Off-the-Shelf Datasets
All Category Datasets
LLM Datasets
Computer Vision Datasets
Speech Recognition Datasets
Speech Synthesis Datasets
OCR Datasets
Pronunciation Dictionary
NLU Datasets
Data Service
3D Point Cloud Data
Street View Data
OCR Data
Behavior Recognition Data
Identity Recognition Data
Speech Recognition Data
Speech Synthesis Data
Multimodal Data
Industries
Generative AI
Autonomous Vehicles
AR/VR
Conversational AI
Smart Home
Retail
Intelligent Healthcare
Company
About Us
News
partners
Quality & Security
Event
Links
OPENMPD
DataPlus
Datarade
Annotation Platform
Annotation Platform
Resources
Sponsored Datasets
Nexdata.ai logo Sharpen Your AI with Better Data
+1(626)594-5598
[email protected]
nexdata_ai facebooknexdata_ai twitternexdata_ai linkedinnexdata_ai youtube
Copyright © 2023 NEXDATA TECHNOLOGY INC
Sitemap  Terms and Conditions

We use cookies to enhance your browsing experience, serve personalized ads or content, and analyze our traffic. By clicking "Accept All", you consent to our use of cookies.

4e0372ff-bd61-4885-b1a4-4bd83eb94bd5

c3596cd5-6933-4e27-8a3e-731948e6d6f0