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1,417 People – 3D Living_Face & Anti_Spoofing Data

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.

Paid Datasets
This is a paid datasets for commercial use, research purpose and more. Licensed ready made datasets help jump-start AI projects.
SpecificationsSpecifications
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%
Sample Sample
  • 1,417 People – 3D Living_Face & Anti_Spoofing Data
  • 1,417 People – 3D Living_Face & Anti_Spoofing Data
  • 1,417 People – 3D Living_Face & Anti_Spoofing Data
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