Web Camera People Behavior
The dataset includes 2,300+ individuals, with each person contributing 23 videos and 4 images captured via webcam
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- people
- 2,300+
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- videos
- 53,800+
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- images
- 9,300+
- Facial Recognition
- Computer Vision
- Machine learning
- Security
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- 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 |
| 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 |
Statistics
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- Distribution by gender
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- 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 |
Industries
E-commerce and Retail:
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Customer Experience:
Analyzing webcam behavior to gauge emotional reactions during online shopping, helping optimize website design and product placement.
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Personalized Marketing:
Using facial expression recognition to tailor promotions based on customer emotions, enhancing engagement and conversion rates.
Finance:
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Fraud Detection:
Utilizing webcam behavior analysis to enhance identity verification processes, identifying suspicious emotional cues that may indicate fraudulent activities during online transactions.
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