Facial Expression Recognition Dataset
The dataset contains 199,955 annotated images from 28,565 individuals of diverse races, genders, and ages. It is a large-scale facial expression dataset designed to train expression recognition and emotion classification models, capturing rich facial features and real-world emotional expressions for improved facial recognition and computer vision systems.
-
- people
- 28 565
-
- images
- 199 955
- Facial Recognition
- Computer Vision
- Machine learning
- Emotion Recognition
The dataset contains 199,955 annotated images from 28,565 individuals of diverse races, genders, and ages. It is a large-scale facial expression dataset designed to train expression recognition and emotion classification models, capturing rich facial features and real-world emotional expressions for improved facial recognition and computer vision systems.
- Facial Recognition
- Computer Vision
- Machine learning
- Emotion Recognition
-
- 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 |
attacks monthly
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Statistics
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- Distribution by ethnicity
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- Distribution by gender
Technical
Characteristics
| Characteristic | Data |
| Image extension | jpg, jpeg, png |
| Accuracy of expressions naming | is more than 97% |
| Device | Phone |
Dataset Use Cases
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