Infrared Face Recognition Dataset
The dataset contains 125,000 images, including infrared, from 4,484 individuals of various races, genders, and ages.
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- people
- 4,484
-
- images
- 125, 500+
- Facial Recognition
- Liveness Detection
- Security
- Computer Vision
- Machine learning
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- people
- 4,484
-
- images
- 125, 500+
Dataset Info
| Characteristic | Data |
| Description | Images of people for infrared face recognition |
| Data types | Image |
| Tasks | Face recognition, Computer Vision |
| Total number of files | 125 552 |
| Number of people | 4,484 |
| Number of files in a set | 28 images for each person (RGB + IR) |
| Labeling | Metadata (ID, nationality, gender, age, facial action, collecting scene) |
| Gender | Male, Female |
| Ethnicity | Asian, Latin American, Caucasian, African |
| Collecting scene | Indoor, outdoor |
| 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 |
| Image Resolution | 1920х1080 |
| Camera Information File Format | txt |
| Accuracy of label annotation | not less than 97% |
| Device | DV-DH4,044S305AD |
Industries
Finance:
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Fraud Detection Algorithms:
Techniques that analyze data patterns to prevent fraud, ensuring secure device unlocking and accurate identity verification.
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Biometric Authentication:
Algorithms that ensure secure user identification through unique biometric traits.
Security:
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Face Recognition Algorithms:
Techniques that analyze data to prevent fraud and ensure secure user identification.
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