task_categories:video-classification language:en license:cc-by-nc-nd-4.0 code legal finance region:us
The dataset consists of photos of individuals and videos of him/her wearing printed 2D
mask with cut-out holes for eyes. 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 15-17 seconds.
@InProceedings{huggingface:dataset,
title = {presentation-attack-detection-2d-dataset},
author = {TrainingDataPro},
year = {2023}
}
---
language:
- en
license: cc-by-nc-nd-4.0
task_categories:
- video-classification
tags:
- code
- legal
- finance
dataset_info:
  features:
  - name: photo
    dtype: image
  - name: video
    dtype: string
  - name: worker_id
    dtype: string
  - name: set_id
    dtype: string
  - name: age
    dtype: int8
  - name: country
    dtype: string
  - name: gender
    dtype: string
  splits:
  - name: train
    num_bytes: 45568435
    num_examples: 14
  download_size: 458883249
  dataset_size: 45568435
---

# Presentation Attack Detection 2D Dataset
The dataset consists of photos of individuals and videos of him/her wearing printed 2D mask with cut-out holes for eyes. 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 15-17 seconds. 

### Types of media files in the dataset:
- **Photo** of the individual
- **Video** with the printed photo of the individual, mask is cut along the contour, there are cut-out holes for eyes, mask is attached to the person's head

![](https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F12421376%2Fdb69cc2fbc608b4a86602492fb2b4025%2FMacBook%20Air%20-%201.png?generation=1691727503725799&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=presentation-attack-detection-2d-dataset) to discuss your requirements, learn about the price and buy the dataset.

# Content
### The folder **"files"** includes 14 folders:
- corresponding to each person in the sample
- including photo and video of the individual

### File with the extension .csv
includes the following information for each media file:
- **set_id**: the identifier of the set of media files,
- **worker_id**: the identifier of the person who provided the media file,
- **age**: the age of the person,
- **gender**: the gender of the person,
- **country**: the country of origin of the person

# Attacks might be collected in accordance with your requirements.

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