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419-People-Colorful-Living-Face-Anti-Spoofing-Data

Home Page: https://www.nexdata.ai/datasets/1217?source=Github

anti-spoofing computer-vision facial-recognition face-recognition

419-people-colorful-living-face-anti-spoofing-data's Introduction

419-People-Colorful-Living-Face-Anti-Spoofing-Data

Description

419 People–Colorful Living_Face & Anti_Spoofing Data. The collection scenes include indoor and outdoor scenes. The data includes males and females. The age distribution ranges from juvenile to the elderly, the young people and the middle aged are the majorities. Devices include cellphone and Pad. The data includes various devices, various anti-spoofing samples, multiple light conditions, multiple scenes. The data can be used for tasks such as colorful remote ID authentication, and living_face & anti_spoofing.

For more details, please refer to the link: https://www.nexdata.ai/datasets/1217?source=Github

Data size

419 people, 11 people were 3D head models or 3D facial masks data, which were collected by 2-3 people wearing masks, and no subsequent data statistics were conducted

Population distribution

Race distribution: Asian; Gender distribution: 204 males, 204 females; Age distribution: 40 people under 18 years old, 258 people aged from 18 to 45, 73 people aged from 46 to 60, 37 people over 60 years old

Collecting environment

248 people in indoor scenes, 160 people in outdoor scenes

Data diversity

various devices, various anti-spoofing samples, multiple light conditions, multiple scenes

Device

cellphone, Pad

Data format

.mp4

Annotation content:

label the person – ID, race, gender, age, collecting scene, glasses state, light condition

Accuracy

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

Licensing Information

Commercial License

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