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40 People – 3D&2D Living_Face & Anti_Spoofing Data

2D face recognition
3D face recognition
anti-spoofing
iPhone of multiple models
indoor scenes
outdoor scenes
multiple devices
multiple actions
multiple facial postures
multiple anti-spoofing

40 People – 3D&2D Living_Face & Anti_Spoofing Data. The collection scenes are indoor scenes and outdoor scenes. The dataset includes males and females, the age distribution is 18-57 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 Living_Face & Anti_Spoofing, 2D face recognition, 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
40 people, 48 videos and 150 groups (252 images) for each person
Population distribution
race distribution: Asian; gender distribution: 20 males, 20 females; age distribution: range from 18 to 57
Collecting environment
20 people in indoor scenes, 20 people in 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
based on the accuracy of the actions, the accuracy exceeds 97%; the accuracy of label annotation is not less than 97%
Sample Sample
  • Waiting For Data
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