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Web Camera People Behavior Dataset

This diverse behavior dataset includes over 53,000 videos and 9,000 images of 2,341 individuals, each contributing 23 videos and 4 images captured via web cameras in real-world indoor environments. Designed for facial expression recognition, social behavior analysis, and computer vision model training, it supports research in video conferencing, remote meeting analysis, and surveillance camera applications.

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  • people
    2,300+
  • videos
    53,800+
  • images
    9,300+
  • Facial Recognition
  • Computer Vision
  • Machine learning
  • Security

This diverse behavior dataset includes over 53,000 videos and 9,000 images of 2,341 individuals, each contributing 23 videos and 4 images captured via web cameras in real-world indoor environments. Designed for facial expression recognition, social behavior analysis, and computer vision model training, it supports research in video conferencing, remote meeting analysis, and surveillance camera applications.

Get in touch Download sample
  • Facial Recognition
  • Computer Vision
  • Machine learning
  • Security
  • people
    2,300+
  • videos
    53,800+
  • images
    9,300+

Dataset Info

Characteristic Data
Description Images and video of people recorded by webcam for facial expression recognition
Data types Image, video
Tasks Face expression recognition, Computer Vision
Total number of video 53 843
Total number of image 9 364
Number of people 2 341
Number of files in a set 23 videos and 4 images for each person
Name of categories Deep-breath, Eye-close, Eye-roll, Eye-stare, Glasses-headset (image), Glasses Pitch, Glasses Roll, Glasses Yaw, Mask (image) Mouth-open, Mouth-pout, Mouth-pucker, No Glasses Pitch, No Glasses Roll, No Glasses Yaw, Normal (image), Put-tongue, Sunglasses (image), Touch-chin, Touch-ear, Touch-eye, Touch-face, Touch-forehead, Touch-glasses, Touch-head, Touch-mouth, Touch-nose.
Labeling Metadata (ID, nationality, gender, age, emotion, collecting scene)
Gender Male, Female
Ethnicity Asian, Middle Eastern, Caucasian, African
Collecting scene Indoor office scenes, such as meeting rooms, coffee shops, libraries, bedrooms, etc.
Age Teenagers, young adults, middle-aged, elderly
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Statistics

Distribution by gender
Distribution by ethnicity

Technical
Characteristics

Characteristic Data
Image extension jpg
Video extension mp4, mov
Accuracy of the actions is more than 97%
Accuracy of action naming not less than 97%
Device Phone
Source and collection methodology. Data was collected by a partner of Unidata.

Dataset Use Cases

  • Video Conferencing & Remote Work

    Improving User Interaction in Virtual Meetings

    Web Camera People Behavior Dataset provides valuable video streams and eye movement data recorded during video calls and online meetings. It helps developers analyze social interactions, eye tracking, and participant behavior in virtual meetings, improving user experience in remote working environments and optimizing video conferencing platforms.

  • Security & Surveillance

    Enhancing Behavior Recognition in Monitoring Systems

    This people behavior dataset supports the development of intelligent surveillance cameras and security features for real-time behavior detection. By using web camera recordings and motion patterns, it enables computer vision systems to identify unusual activities, enhance public safety, and improve automated monitoring algorithms in security cameras and live streaming systems.

  • Human-Computer Interaction Research

    Studying Behavioral Patterns in Webcam Environments

    Researchers use the web camera people behavior dataset to explore eye movements, facial expressions, and body gestures captured by laptop webcams. These insights support HCI studies, helping improve video chatting tools, virtual meetings, and online collaboration software by modeling natural social interactions in digital communication settings.

  • AI & Machine Learning Development

    Training Models for Behavior and Emotion Recognition

    This behavior dataset provides labeled video data suitable for training AI models to recognize emotional cues, attention levels, and interaction dynamics. It serves as a robust foundation for deep learning applications in video analysis, human detection, and behavior prediction, improving real-time recognition systems across communication and surveillance technologies.

FAQs

What is included in this dataset?
The dataset includes 53,843 videos and 9,364 images of 2,341 individuals, labeled with detailed metadata including gender, age, ethnicity, emotion, and scene type. Each person is represented by 23 videos and 4 images, covering a wide range of actions and facial expressions.
What types of annotations are provided?
Annotations include metadata for each video and image, specifying the ID, nationality, gender, age, emotion, and collecting scene. Behavioral categories include eye movements, facial expressions, hand gestures, mask-wearing, and accessory usage, all labeled with 97%+ accuracy.
Is it possible to request a custom dataset?
Yes. You can request a customized dataset tailored to your research needs, such as specific age groups, ethnicities, or behaviors, or a focus on particular facial expressions and gestures. Unidata can also provide custom metadata formatting for easier integration with machine learning pipelines.
How was the data collected?
The dataset was collected using webcams and phone cameras in natural indoor environments, including meeting rooms, coffee shops, and bedrooms. All data was curated by a partner of Unidata, ensuring high-quality video streams and images.
How are Unidata datasets licensed?
Unidata datasets follow a dual-licensing model: free samples are available for evaluation and testing, while full datasets are offered exclusively through purchase. This allows users to verify dataset suitability before committing to a license.
Do Unidata datasets follow GDPR or other data privacy regulations?
Yes. All datasets, including this one, are compliant with GDPR and applicable data protection laws. Data is collected from legally authorized sources, ensuring ethical and lawful usage without exposing personal information.
How are Unidata datasets stored?
All datasets are securely stored on AWS cloud infrastructure, ensuring high availability, scalability, and reliability. Storage practices follow ISO 27001 and ISO 27701 standards, providing a secure, privacy-focused environment for managing sensitive human behavioral data.
Is this a real-world dataset or synthetic data?
This is a real-world dataset, consisting of authentic video and image recordings of people in everyday indoor environments. It reflects natural human behaviors, making it suitable for training and validating AI models in practical scenarios.
Still have questions about using Unidata datasets? Read our user-guides

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