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5,199 People – 3D Face Recognition Images Data

3D Face Recognition
multiple facial postures
multiple light conditions
multiple indoor scenes

5,199 People – 3D Face Recognition Images Data. The collection scene is indoor scene. The dataset includes males and females. The age distribution ranges from juvenile to the elderly, the young people and the middle aged are the majorities. The device includes iPhone X, iPhone XR. The data diversity includes multiple facial postures, multiple light conditions, multiple indoor scenes. This data can be used for tasks such as 3D face recognition.

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SpecificationsSpecifications
The data size
5,199 people, one person to collect 24 photos
Personnel distribution
Ethnic distribution: Asian; Gender distribution: male and female; Age distribution: from young to old, mainly young and middle-aged
Acquisition environment
Indoor scene
Collection diversity
Face posture, a variety of lighting conditions, a variety of indoor scenes
Acquisition equipment
iPhone X,iPhone XR
The data format
.jpg,.xml,.json
Tagging content
The label marks the person ID, race, gender, age, face action, collection scene and lighting conditions
accuracy
According to the accuracy of the acquisition movement, the accuracy is more than 97%; The labeling accuracy rate is above 97%
Sample Sample
  • Waiting For Data
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