task_categories:video-classification language:en license:cc-by-nc-nd-4.0 finance legal code region:us
The dataset consists of videos of individuals wearing printed 2D masks or
printed 2D masks with cut-out eyes and directly looking at the camera.
Videos are filmed in different lightning conditions and in different places
(indoors, outdoors). Each video in the dataset has an approximate duration of 2
seconds.
@InProceedings{huggingface:dataset,
title = {cut-2d-masks-presentation-attack-detection},
author = {TrainingDataPro},
year = {2023}
}
---
language:
- en
license: cc-by-nc-nd-4.0
task_categories:
- video-classification
tags:
- finance
- legal
- code
dataset_info:
  features:
  - name: link
    dtype: string
  - name: type
    dtype: string
  splits:
  - name: train
    num_bytes: 1452
    num_examples: 48
  download_size: 737352851
  dataset_size: 1452
---

# Cut 2D Masks Presentation Attack Detection
The dataset consists of videos of individuals wearing printed 2D masks with cut-out holes for eyes, noses and mouths. Videos are filmed in different lightning conditions and in different places (*indoors, outdoors*), a person moves his/her head left, right, up and down. Each video in the dataset has an approximate duration of 7 seconds. 

### Types of videos in the dataset:
- **2d_mask** - videos of the person wearing a printed 2D mask with cut-out holes for eyes.
- **cut_mask** - videos of the person wearing a printed 2D mask with cut-out holes for eyes, mouth and nose. All videos represent masks with holes for *eyes*, in some videos holes for both *mouth and nose* are made, in others only for *mouth or nose*.

![](https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F12421376%2F85b1323d1fd7fc0f732021d1948c09bf%2FMacBook%20Air%20-%201%20(4).png?generation=1690468363734380&alt=media)

People in the dataset wear different accessorieses, such as *glasses, caps, scarfs, hats and masks*. Most of them are worn over a mask, however *glasses and masks* can be are also printed on the mask itself.

![](https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F12421376%2F970d61fc26caf45ddda56e18f6d07762%2FMacBook%20Air%20-%201%20(5).png?generation=1690468790515642&alt=media)

The dataset serves as a valuable resource for computer vision, anti-spoofing tasks, video analysis, and security systems. It allows for the development of algorithms and models that can effectively detect attacks perpetrated by individuals wearing printed 2D masks.

Studying the dataset may lead to the development of improved security systems, surveillance technologies, and solutions to mitigate the risks associated with masked individuals carrying out attacks.

# 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=cut-2d-masks-presentation-attack-detection) to discuss your requirements, learn about the price and buy the dataset.

# Content
### The dataset contains of two folders:
- **2d_masks** contains videos of the person wearing a printed 2D mask with cut-out holes for eyes.
- **cut_masks** includes videos of the person wearing a printed 2D mask with cut-out holes for eyes, mouth and nose.

### File with the extension .csv
- **link**: link to access the video,
- **type**: type of the attack: *with printed 2D mask with cut-out holes for eyes* OR *with printed 2D mask with cut-out holes for eyes, mouth and nose*

# Attacks might be collected in accordance with your requirements.

## [**TrainingData**](https://trainingdata.pro/data-market?utm_source=huggingface&utm_medium=cpc&utm_campaign=cut-2d-masks-presentation-attack-detection) 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**