ID Re-identification Dataset
The dataset consists of selfies of individuals and their ID photos representing various races, genders, and ages.
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-
- images
- 200,000+
-
- people
- 29,500+
- Facial Recognition
- Computer Vision
- Machine learning
- Anti-spoofing
- Security
-
- images
- 200,000+
-
- people
- 29,500+
Dataset Info
| Characteristic | Data |
| Description | Selfie and ID image of people for facial recognition |
| Data types | Image |
| Tasks | Facial recognition, Computer Vision |
| Number of images | 200,000+ |
| Number of files in a set | ID photo and 5-10 life photos per person |
| Number of people | 29,523 |
| Labeling | Metadata (ID, age, gender, ethnicity) |
| Gender | Male, Female |
| Ethnicity | Asian, Caucasian, African, Mexicans |
| Collecting scene | Indoor, outdoor |
| Age | Young people, middle-aged, elderly |
Statistics
-
- Distribution by ethnicity
-
- Distribution by gender
Technical
Characteristics
| Characteristic | Data |
| Image extension | Jpg, jpeg, png |
| Accuracy of label annotation | more than 97% |
Industries
Finance:
-
Fraud Detection:
Enhancing identity verification through facial recognition to reduce fraudulent activities in banking transactions.
-
Biometric Authentication:
Algorithms that ensure secure user identification through unique biometric traits.
Security:
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Access Control:
Employing facial recognition systems in secure facilities to monitor and control access, enhancing safety and security measures.
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We do not sell this dataset.
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