TrainingDataPro/web-camera-face-liveness-detection

---
license: cc-by-nc-nd-4.0
task_categories:
- video-classification
- image-classification
- image-to-image
language:
- en
tags:
- code
- finance
- biology
- legal
---

# Web Camera Face Liveness Detection

The dataset consists of videos featuring individuals wearing various types of masks. Videos are recorded under **different lighting conditions** and with **different attributes** (*glasses, masks, hats, hoods, wigs, and mustaches for men*).

In the dataset, there are **7 types of videos** filmed on a web camera:

- **Silicone Mask** - demonstration of a silicone mask attack (*silicone*)
- **2D mask with holes for eyes** - demonstration of an attack with a paper/cardboard mask (*mask*)
- **2D mask** - demonstration of an attack with a paper/cardboard silhouette (*outline*)
- **Monitor Replay Attack** - demonstration of an attack from a monitor (*monitor *)
- **A4 Photo Attack** - demonstration of a paper/cardboard A4 photo attack (*print*)
- **A4 Photo with holes for eyes, nose and mouth** - demonstration of a paper/cardboard A4 photo attack with cutouts for the eyes, nose, and mouth (*print_cut*)
- **Real Video** - demonstration of a real person's face (*real*)


The dataset allows researchers and developers in recognizing and analyzing **facial expressions, anti-spoofing tasks, face detection, re-identification and face recognition tasks**. The inclusion of various attributes and different lighting conditions aims to enhance the **robustness and effectiveness** of anti-spoofing models in real-world scenarios.

## Full version of the dataset includes 30,000+ videos of people, leave a request on **[TrainingData](https://trainingdata.pro/datasets/liveness-detection-for-ibeta-level-2?utm_source=huggingface&utm_medium=cpc&utm_campaign=web-camera-face-liveness-detection)** to buy the dataset

### Statistics for the dataset (gender and type of the attack):


# 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=web-camera-face-liveness-detection) to learn about the price and buy the dataset**

# Content
The folder **files** includes:
- **mask** - includes videos of people wearing a 2D mask with holes for eyes,
- **monitor** - includes videos with demonstration of an attack from a monitor,
- **outline** - includes videos of people wearing a 2D mask,
- **print** - includes videos of people with an A4 photo,
- **print_cut** - includes videos of people with an A4 photo with holes for eyes, nose and mouth,
- **real** - includes real videos of people,
- **silicone** - includes videos of people wearing a silicone mask

### File with the extension .csv
- **file**: link to access the file,
- **type**: type of the video (*real, mask, outline, print, print_cut, silicone, monitor*)

## **[TrainingData](https://trainingdata.pro/datasets/liveness-detection-for-ibeta-level-2?utm_source=huggingface&utm_medium=cpc&utm_campaign=web-camera-face-liveness-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**

*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, printed 2d masks dataset, spoofing in 2D face recognition, facial masks, 2D face recognition systems, detecting face spoofing attacks, detecting presentation attacks, computer vision, surveillance face anti-spoofing, face liveness detection software solution, silicone masks attacks*

原始信息汇总

Web Camera Face Liveness Detection 数据集

数据集概述

该数据集包含佩戴各种类型口罩的人的视频，录制于不同的光照条件和不同的属性（如眼镜、口罩、帽子、兜帽、假发和男士胡须）。

视频类型

数据集包含以下7种类型的视频：

• 硅胶面具 - 展示硅胶面具攻击
• 2D带孔面具 - 展示带有眼睛孔的纸/纸板面具攻击
• 2D面具 - 展示纸/纸板轮廓面具攻击
• 显示器重放攻击 - 展示从显示器进行的攻击
• A4照片攻击 - 展示纸/纸板A4照片攻击
• A4带孔照片攻击 - 展示带有眼睛、鼻子和嘴巴孔的纸/纸板A4照片攻击
• 真实视频 - 展示真实人脸的视频

数据集用途

该数据集适用于研究人员和开发人员进行面部表情识别、反欺骗任务、人脸检测、重新识别和人脸识别任务。通过包含各种属性和不同的光照条件，旨在增强反欺骗模型在现实场景中的鲁棒性和有效性。

数据集内容

数据集文件夹files包含以下内容：

• mask - 包含佩戴2D带孔面具的人的视频
• monitor - 包含从显示器进行的攻击演示视频
• outline - 包含佩戴2D面具的人的视频
• print - 包含带有A4照片的人的视频
• print_cut - 包含带有A4带孔照片的人的视频
• real - 包含真实人脸的视频
• silicone - 包含佩戴硅胶面具的人的视频

CSV文件内容

• file: 文件链接
• type: 视频类型（real, mask, outline, print, print_cut, silicone, monitor）