Face Re-identification Image Dataset
The dataset contains over 2,300 individuals, each contributing 28 images featuring various angles and head positions, diverse backgrounds, and attributes, along with 1 ID photo.
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-
- people
- 23,110
-
- images
- 670,000+
- Facial Recognition
- Computer Vision
- Machine learning
- Security
-
- people
- 23,110
-
- images
- 670,000+
Dataset Info
| Characteristic | Data |
| Description | Images of people featuring various angles, backgrounds, and attributes for facial expression recognition |
| Data types | Image |
| Tasks | Face Re-identification, Computer Vision |
| Total number of image | 670 190 |
| Number of people | 23 110 |
| Number of files in a set | 28 images and 1 ID photo for each person |
| Labeling | Metadata (ID, nationality, gender, age, emotion, collecting scene) |
| Gender | Male, Female |
| Ethnicity | Asian, Mexican, Caucasian, African, Indian |
| Collecting scene | Indoor and outdoor scenes |
| Age | Teenagers, young adults, middle-aged, elderly |
attacks monthly
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Statistics
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- Distribution by gender
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- Distribution by ethnicity
Technical
Characteristics
| Characteristic | Data |
| Image extension | Jpg, png |
| Accuracy of labels of face pose | is more than 97% |
| Device | Phone |
Industries
Security:
-
Face Recognition:
Utilizing face images for improving algorithms in face recognition systems, enhancing accuracy in identifying individuals across various environments.
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Access Control:
Utilizing facial analysis techniques to develop robust identity verification systems for secure access to facilities, ensuring safety and compliance.
Finance:
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Fraud Detection:
Utilizing face photos to enhance identity verification processes, improving the accuracy of face recognition systems to identify suspicious activities
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