-
- people
- 28 565
-
- images
- 199 955
- Facial Recognition
- Computer Vision
- Machine learning
- Emotion Recognition
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- people
- 28 565
-
- images
- 199 955
Dataset Info
| Characteristic | Data |
| Description | Images of people for facial expression recognition |
| Data types | Image |
| Tasks | Face expression recognition, Computer Vision |
| Total number of files | 199 955 |
| Number of people | 28 565 |
| Number of files in a set | 7 images for each people |
| Labeling | Metadata (ID, nationality, gender, age, emotion, collecting scene) |
| Gender | Male, Female |
| Ethnicity | Asian, Mexicans, Caucasian, African |
| Collecting scene | Indoor, outdoor |
| Age | Teenagers, young adults, middle-aged, elderly |
Statistics
-
- Distribution by ethnicity
-
- Distribution by gender
Technical
Characteristics
| Characteristic | Data |
| Image extension | jpg, jpeg, png |
| Accuracy of expressions naming | is more than 97% |
| Device | Phone |
Industries
E-commerce and Retail:
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Consumer Emotion Analysis:
Using emotion recognition to gauge consumer reactions to advertisements and products, allowing for strategy adjustments.
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Personalized Marketing:
Developing systems that analyze users’ emotional responses to content and provide tailored recommendations
Security:
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Behavioral Analysis Algorithms:
Techniques that analyze facial expressions to detect unusual behavior, enhancing security measures in public spaces and sensitive environments.
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UniData
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Data purchase
Our team got in touch with UniData for purchasing video data. The team at UniData was transparent, timely, and pleasant to communicate and negotiate with. Their samples and descriptions aligned well with the data we received. We will certainly reach out to UniData again if we're in search of 3rd party video data.
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