Nexdata/70-Person-Multi-race-3D-2D-Living_Face-Anti_Spoofing-Data

Description

70 People Multi-race 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 18-50 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.

For more details, please refer to the link: https://www.nexdata.ai/datasets/computervision?source=huggingface

Specifications

Data size

70 people, 48 videos and 150 groups (252 images) for each person

Race distribution

Asian, Black race, Caucasian

Gender distribution

males, females

Age distribution

range from 18 to 50

Collecting environment

indoor scenes, 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 rate

Collection accuracy: based on the accuracy of the actions, the accuracy exceeds 97% Annotation accuracy: the accuracy of label annotation is not less than 97%

Licensing Information

Commercial License