photo
image
| attack
string
| phone
string
| gender
string
| age
int8
22
60
| country
string
|
|---|---|---|---|---|---|
 | "0.mp4" | "realme c31" | "MALE" | 34 | "BY" |
 | "1.mp4" | "Samsung A51" | "nan" | 37 | "RU" |
 | "10.MOV" | "iphone 11" | "MALE" | 22 | "RU" |
 | "11.MOV" | "iphone 11" | "FEMALE" | 38 | "RU" |
 | "12.mp4" | "Galaxy A5 (2017)" | "MALE" | 23 | "RU" |
 | "13.mp4" | "iPhone 7 Plus " | "FEMALE" | 36 | "RU" |
 | "14.mp4" | "Oppo reno 4 pro " | "FEMALE" | 35 | "KZ" |
 | "2.MOV" | "Pocophone f1 " | "MALE" | 32 | "RU" |
 | "3.MOV" | "G8341" | "MALE" | 32 | "RU" |
 | "4.mp4" | "Realme 8 RMX 3085" | "MALE" | 60 | "RU" |
 | "5.MOV" | "iphone 13" | "FEMALE" | 27 | "RU" |
 | "6.mp4" | "iPhone 12 " | "nan" | 40 | "RU" |
 | "7.mp4" | "M2010J19SY" | "FEMALE" | 26 | "RU" |
 | "8.mp4" | "Huawei p30 lite " | "FEMALE" | 36 | "RU" |
 | "9.mp4" | "samsung a52" | "MALE" | 40 | "RU" |
Printed 2D Masks with Holes for Eyes Attacks Dataset
The dataset consists of selfies of people and videos of them wearing a printed 2d mask with their face. The dataset solves tasks in the field of anti-spoofing and it is useful for buisness and safety systems.
The dataset includes: attacks - videos of people wearing printed portraits of themselves with cut-out eyes.
The dataset includes 2 different types of files:
- Photo - a selfie of a person from a mobile phone, the person is depicted alone on it, the face is clearly visible.
- Video - filmed on the front camera, on which a person moves his/her head left, right, up and down. Duration of the video is from 10 to 20 seconds. On the video, a person is wearing a printed 2d mask made from the corresponding photo from the "photo" folder.
.png?generation=1688134701103179&alt=media)
Get the dataset
This is just an example of the data
Leave a request on https://trainingdata.pro/data-market to discuss your requirements, learn about the price and buy the dataset.
Content
File with the extension .csv
includes the following information for each media file:
- photo: link to access the photo,
- attack: link to access the attack video,
- phone: the device used to capture the replay video,
- computer: the device used to play the video,
- gender: gender of a person in the video,
- age: age of the person in the video,
- country: country of the person
**TrainingData**
More datasets in TrainingData's Kaggle account: https://www.kaggle.com/trainingdatapro/datasets
TrainingData's GitHub: https://github.com/Trainingdata-datamarket/TrainingData_All_datasets
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