1,417 People – 3D Living_Face & Anti

3D Living_Face & Anti_Spoofing

various expressions

facial postures

anti-spoofing samples

multiple light conditions

multiple scenes

1,417 People – 3D Living_Face & Anti_Spoofing Data. The collection scenes include indoor and outdoor scenes. 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 various expressions, facial postures, anti-spoofing samples, multiple light conditions, multiple scenes. This data can be used for tasks such as 3D face recognition, 3D Living_Face & Anti_Spoofing.

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Specifications

Data size

1,417 people, 168 images for each person

Population distribution

race distribution: 1,105 Asians, 136 Caucasians, 176 blacks; gender distribution: 772 males, 645 females; age distribution: 1,080 people aged from 18 to 45, 314 people aged from 46 to 60, 23 people over 60 years old

Collecting environment

1,156 people were collected in indoor scenes, 261 people were collected in outdoor scenes

Data diversity

various expressions, facial postures, anti-spoofing samples, multiple light conditions, multiple scenes

Device

iPhone X, iPhone XR

Data format

.jpg, .xml, .json

Annotation content

label the person – ID, race, 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%

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