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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.
This is a paid datasets for commercial use, research purpose and more. Licensed ready made datasets help jump-start AI projects.
Specifications
Data size
70 people, 48 videos and 150 groups (252 images) for each person
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%