Tell us about your project!
Dataset
Selfie photos and selfie videos of people. The dataset solves the tasks of training algorithms to distinguish real users from scammers
Anti-spoofing Real
Techniques used to prevent fraudulent attempts to deceive an identifying system
Anti-Spoofing
Process of identifying or verify a person identity using facial features
Facial Recognition
Process of identifying a specific entity across different data
Re-identification
The ability to distinguish whether biometric data is being captured from a live or fake source
Liveness detection
iBeta
Independent laboratory that certifies liveness detection systems
49 132
sets
48 737
people
>5
criteria of metadata
Technical Specifications
The dataset includes 4 different formats:
Selfies and videos on the front camera of the smartphone
All photos and videos are taken on a different background with different lighting
Selfies and videos on a computer webcam
Video duration: from 5 to 30 seconds
Metadata:
Region
Age
Gender
Country
The phone used to take photos and videos
Video duration
Photo resolution
Data format (jpg, mp4, heic)
Tell us about your project!
Statistics
Gender distribution
Age distribution
Distribution by region
Phone models
RealMe- 3,57%
Honor- 2,32%
Samsung- 21,99%
iPhone- 18,04%
Itel- 0,94%
Xiaomi- 15,54%
Infinix- 5,12%
LG- 0,94%
Huawei -4,97%
Oppo - 4,73%
Tecno - 4,67%
Nokia -0,63%
Vivo - 4,46%
Motorola - 4,23%
OnePlus - 0,60%
ZTE - 0,35%
Alcatel - 0,23%
Asus- 0,23%
Google- 0,15%
Umidigi- 0,15%
Lenovo- 0,12%
Sony- 0,09%
Ulefone- 0,03%
iPad- 0,04%
Spark- 0,09%
Hisense- 0,07%
We offer flexible commercial terms on the Antispoofing REAL dataset!
Leave a request to consult with the account manager and calculate the cost!
Tell us about your project!
See other datasets