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200 Vietnamese 3D Living Face & Anti-Spoofing Dataset – Multi-Scene, Multi-Light

multi-posture face dataset
facial expression 3D dataset
multi-scene 3D face dataset
liveness detection 3D dataset
3D face recognition dataset
3D living face dataset
3D face dataset
multi-expression face dataset

200 Vietnamese 3D Living Face & Anti-Spoofing Dataset – Multi-Scene, Multi-Light. The collection scenes include indoor and outdoor scenes. The dataset includes males and females. The age distribution includes under 18 years old, 18 to 45 years old, 46 to 60 years old, over 60 years old. The device includes iPhone X, iPhone XR, iPhone11, iPhone12, iPhone13. The data diversity includes various expressions, facial postures, anti-spoofing samples, multiple light conditions, multiple scenes. This data can be used for tasks such as 3D face recognition, liveness detection, and anti-spoofing AI model.

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SpecificationsSpecifications
Data size
200 people, 186 images for each person
Race distribution
Asian
Nationality distribution
Vietnam
Gender distribution
99 males, 101 females
Age distribution
20 people under 18 years old, 100 people aged from 18 to 45 years old, 60 people aged from 46 to 60 years old, 20 people over 60 years old
Collecting environment
indoor scenes 140 people, outdoor scenes 60 people
Data diversity
multiple expressions, facial postures, anti-spoofing samples, multiple light conditions, multiple scenes
Device
iphone x、iphone xr、iphone 11、iphone 12、iphone 13.etc
Data format
.jpg, .xml, .json
Data format
label the person – ID, nationality, gender, age, facial action, collecting scene, light condition
Annotation content
label the person – ID, nationality, gender, age, facial action, collecting scene, light condition
Accuracy
based on the accuracy of the actions, the accuracy exceeds 97%; the accuracy of label annotation is not less than 97%
Sample Sample
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