task_categories:video-classification language:en license:cc-by-nc-nd-4.0 code finance region:us
The dataset consists of videos of individuals and attacks with printed 2D masks and
silicone masks . Videos are filmed in different lightning conditions (*in a dark room,
daylight, light room and nightlight*). Dataset includes videos of people with different
attributes (*glasses, mask, hat, hood, wigs and mustaches for men*).
@InProceedings{huggingface:dataset,
title = {silicone-masks-biometric-attacks},
author = {TrainingDataPro},
year = {2023}
}
---
language:
- en
license: cc-by-nc-nd-4.0
task_categories:
- video-classification
tags:
- code
- finance
dataset_info:
  features:
  - name: id
    dtype: int32
  - name: name
    dtype: string
  - name: video
    dtype: string
  - name: label
    dtype:
      class_label:
        names:
          '0': real
          '1': silicone
          '2': mask
  splits:
  - name: train
    num_bytes: 2394
    num_examples: 62
  download_size: 156861504
  dataset_size: 2394
---

# Silicone Masks Biometric Attacks
The dataset consists of videos of individuals and attacks with printed 2D masks and silicone masks . Videos are filmed in different lightning conditions (*in a dark room, daylight, light room and nightlight*). Dataset includes videos of people with different attributes (*glasses, mask, hat, hood, wigs and mustaches for men*).

### Types of videos in the dataset:
- **real** - real video of the person 
- **outline** -video of the person wearing a printed 2D mask
- **silicone** - video of the person wearing a silicone mask

![](https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F12421376%2Ff9be1f70a38085709c85716b212cdd11%2FFrame%2027.png?generation=1696329340111093&alt=media)

## Full version of the dataset includes 5792 videos

### Types and number of videos in the full dataset:
- **2885** real videos of people
- **2859** videos of people wearing silicone mask
- **48** videos of people wearing a 2D mask.

### Gender of people in the dataset:
- women: **2685**
- men: **3107**

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.

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=silicone-masks-biometric-attacks) to discuss your requirements, learn about the price and buy the dataset.

# Content
- **real** - contains of real videos of people,
- **mask** - contains of videos with people wearing a printed 2D mask,
- **silicone** - contains of videos with people wearing a silicone mask,
-  **dataset_info.csvl** - includes the information about videos in the dataset

### File with the extension .csv
- **video**: link to the video,
- **type**: type of the video

# Attacks might be collected in accordance with your requirements.

## [TrainingData](https://trainingdata.pro/data-market?utm_source=huggingface&utm_medium=cpc&utm_campaign=silicone-masks-biometric-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-pro**