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419 People – Colorful Living_Face & Anti_Spoofing Data
colorful Living_face & Anti-Spoofing data
various devices
various anti-spoofing samples
multiple light conditions
multiple scenes
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.
This is a paid datasets for commercial use, research purpose and more. Licensed ready made datasets help jump-start AI projects.
Specifications
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%
Specifications
Sample
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