---
license: cc-by-nc-nd-4.0
task_categories:
- image-classification
- image-to-image
- video-classification
language:
- en
tags:
- legal
dataset_info:
  features:
  - name: photo
    dtype: image
  - name: attack
    dtype: string
  - name: phone
    dtype: string
  - name: gender
    dtype: string
  - name: age
    dtype: int8
  - name: country
    dtype: string
  splits:
  - name: train
    num_bytes: 97360072
    num_examples: 15
  download_size: 502647114
  dataset_size: 97360072
---

# 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.

![](https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F618942%2F8c995d1a19eaf18ced6d0208fa5d8475%2FMacBook%20Air%20-%201%20(2).png?generation=1688134701103179&alt=media)

# Get the dataset

### This is just an example of the data

Leave a request on [**https://trainingdata.pro/datasets**](https://trainingdata.pro/datasets/liveness-detection-for-ibeta-level-2?utm_source=huggingface&utm_medium=cpc&utm_campaign=printed-2d-masks-with-holes-for-eyes-attacks) 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**](https://trainingdata.pro/datasets/liveness-detection-for-ibeta-level-2?utm_source=huggingface&utm_medium=cpc&utm_campaign=printed-2d-masks-with-holes-for-eyes-attacks) provides high-quality data annotation tailored to your needs

More datasets in TrainingData's Kaggle account: **https://www.kaggle.com/trainingdatapro/datasets**

TrainingData's GitHub: **https://github.com/Trainingdata-datamarket/TrainingData_All_datasets**

*keywords: ibeta level 1, ibeta level 2, liveness detection systems, liveness detection dataset, biometric dataset, biometric data dataset, biometric system attacks, anti-spoofing dataset, face liveness detection, deep learning dataset, face spoofing database, face anti-spoofing, face recognition, face detection, face identification, human video dataset, video dataset, presentation attack detection, presentation attack dataset, 2d print attacks, print 2d attacks dataset, cut prints spoof attack*