2d_mask
string
| live_selfie
image
| live_video
string
| phone_model
string
|
---|---|---|---|
"0.mp4" | "0.mp4" | "Xiaomi redmi note 9 pro" |
|
"1.mp4" | "1.mp4" | "Xiaomi note 10s" |
|
"2.mp4" | "2.mp4" | "HONOR 10I " |
|
"3.mp4" | "3.mp4" | "Moto G30" |
|
"4.mp4" | "4.mp4" | "Samsung Galaxy a22" |
|
"5.mp4" | "5.mp4" | "Redmi note 9" |
|
"6.mp4" | "6.mp4" | "Infinix note 11" |
|
"7.mp4" | "7.mp4" | "Oppo a5s" |
|
"8.mp4" | "8.mp4" | "Poco x3" |
2D Printed Masks Attacks
The dataset includes 3 different types of files of the real people: original selfies, original videos and videos of 2d printed masks attacks. The dataset solves tasks in the field of anti-spoofing and it is useful for buisness and safety systems.
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
The dataset contains of three folders:
- live_selfie contains the original selfies of people
- live_video includes original videos of people
- 2d_masks contains videos of attacks with the 2d printed mask using original images from "live_selfie" folder
File with the extension .csv
includes the following information for each media file:
- live_selfie: the link to access the original selfie
- live_video: the link to access the original video
- phone_model: model of the phone, with which selfie and video were shot
- 2d_masks: the link to access the video with the attack with the 2d printed mask
**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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