Infrared Face Recognition Dataset
This face dataset includes 125,552 RGB and infrared images of 4,484 people with 28 images per person. It covers diverse ages, genders, and ethnicities in both indoor and outdoor scenes, with full metadata. Designed for face recognition, detection, and biometric verification, it supports computer vision and infrared recognition research.
-
- people
- 4,484
-
- images
- 125, 500+
- Facial Recognition
- Liveness Detection
- Security
- Computer Vision
- Machine learning
This face dataset includes 125,552 RGB and infrared images of 4,484 people with 28 images per person. It covers diverse ages, genders, and ethnicities in both indoor and outdoor scenes, with full metadata. Designed for face recognition, detection, and biometric verification, it supports computer vision and infrared recognition research.
- Facial Recognition
- Liveness Detection
- Security
- Computer Vision
- Machine learning
-
- 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 |
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 |
| Image Resolution | 1920х1080 |
| Camera Information File Format | txt |
| Accuracy of Label Annotation | not less than 97% |
| Device | DV-DH4,044S305AD |
Dataset Use Cases
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