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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.

This is a paid datasets for commercial use, research purpose and more. Licensed ready made datasets help jump-start AI projects.

Specifications

Specifications

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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