---
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*)

![](https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F12421376%2F87e1747ec7c320f55d668d18396d9c4f%2FFrame%2062.png?generation=1700568627549534&alt=media)

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):

![](https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F12421376%2F28544e6fe467904bc32107412cf61088%2FFrame%2061.png?generation=1700567253550788&alt=media)

# 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**

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