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Face Anti-Spoofing & Liveness Detection Dataset – 70 People (2D & 3D)

face liveness detection dataset
face anti spoofing dataset
liveness detection dataset
face spoofing dataset
3D face dataset
2D face dataset

This dataset includes 70 multi-race subjects, the collection scenes are indoor scenes and outdoor scenes. The dataset includes males and females, age distribution is 18-50 years old. The device includes cellphone, camera, iPhone of multiple models (iPhone X or more advanced iPhone models). The data diversity includes multiple devices, multiple actions, multiple facial postures, multiple anti-spoofing samples, multiple light conditions, multiple scenes. This data can be used for tasks such as 2D liveness detection, 3D liveness detection, face anti-spoofing, 2D face recognition, and 3D face recognition.

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SpecificationsSpecifications
Data size
70 people, 48 videos and 150 groups (252 images) for each person
Race distribution
Asian, Black race, Caucasian
Gender distribution
males, females
Age distribution
range from 18 to 50
Collecting environment
indoor scenes, outdoor scenes
Data diversity
multiple devices, multiple actions, multiple facial postures, multiple anti-spoofing samples, multiple light conditions, multiple scenes
Device
cellphone, camera, iPhone of multiple models (iPhone X or more advanced iPhone models)
Data format
.mp4, .mov, .jpg, .xml, .json
Annotation content
label the person ID, race, gender, age, scene, facial action, light condition
Accuracy rate
Collection accuracy: based on the accuracy of the actions, the accuracy exceeds 97% Annotation accuracy: the accuracy of label annotation is not less than 97%
Sample Sample
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