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5,000 People Multi-race – Infrared Face Recognition Data
Multi-race
infrared face
binocular camera
multiple age periods
multiple facial postures
multiple scenes
5,000 people multi-race – infrared face recognition data. The collecting scenes of this dataset include indoor scenes and outdoor scenes. The data includes male and female. The race distribution includes Asian, Black, Caucasian and Brown people. The age distribution ranges from child to the elderly, the young people and the middle aged are the majorities. The collecting device is DV-DH4,044S305AD. The data diversity includes multiple age periods, multiple facial postures, multiple scenes. The data can be used for tasks such as infrared face recognition. We strictly adhere to data protection regulations and privacy standards, ensuring the maintenance of user privacy and legal rights throughout the data collection, storage, and usage processes, our datasets are all GDPR, CCPA, PIPL complied.
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![Specifications]()
Specifications
Data size
5,000 people, 28 images for each person (RGB + IR)
Population distribution
race distribution: 2,000 Asians, 1,000 blacks, 1,000 Caucasians, 1,000 brown people; gender distribution: male, female; age distribution: ranging from teenager to the elderly, the middle-aged and young people are the majorities
Collecting environment
Collecting environment
Data diversity
multiple age periods, multiple facial postures, multiple scenes
Data diversity
DV-DH4,044S305AD, the resolution is 1,920*1,080
Data diversity
the image data format is .jpg, the camera parameter information file format is .txt
Annotation content
label the person – ID, nationality, gender, age, facial action, collecting scene
Accuracy rate
label the person – ID, nationality, gender, age, facial action, collecting scene; the accuracy of label annotation is not less than 97%
![Sample]()
Sample
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