task_categories:video-classification language:en license:cc-by-nc-nd-4.0 finance legal code region:us
The dataset consists of 40,000 videos and selfies with unique people. 15,000
attack replays from 4,000 unique devices. 10,000 attacks with A4 printouts and
10,000 attacks with cut-out printouts.
@InProceedings{huggingface:dataset,
title = {2d-printed_masks_attacks},
author = {TrainingDataPro},
year = {2023}
}
---
license: cc-by-nc-nd-4.0
task_categories:
- video-classification
language:
- en
tags:
- finance
- legal
- code
dataset_info:
  features:
  - name: 2d_mask
    dtype: string
  - name: live_selfie
    dtype: image
  - name: live_video
    dtype: string
  - name: phone_model
    dtype: string
  splits:
  - name: train
    num_bytes: 101123818
    num_examples: 9
  download_size: 328956415
  dataset_size: 101123818
---

# 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**](https://trainingdata.pro/data-market?utm_source=huggingface&utm_medium=cpc&utm_campaign=2d-printed_masks_attacks) 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**](https://trainingdata.pro/data-market?utm_source=huggingface&utm_medium=cpc&utm_campaign=2d-printed_masks_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**