---
license: cc-by-nc-nd-4.0
task_categories:
- video-classification
language:
- en
tags:
- ibeta
- Liveness Detection
- Computer Vision
- Security
- Anti-spoofing
- Machine learning
size_categories:
- 1K<n<10K
---

# Attacks with 2D Printed Masks of Indian People - Biometric Attack Dataset
The dataset consists of videos of individuals wearing printed 2D masks of different kinds 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 3-4 seconds. 

# The similar dataset that includes all ethnicities - [Printed 2D Masks Attacks Dataset](https://unidata.pro/datasets/2d-masks-attacks/?utm_source=huggingface-td&utm_medium=referral&utm_campaign=attacks-with-2d-printed-masks-of-indian-people)
### Types of videos in the dataset:
Inside the **"attacks"** folder there are 10 sub-folders and corresponding files inside:
- **1**- Real videos without glasses 
- **2** - Real videos with glasses
- **3** - Mask held without hands
- **4** - Mask with real glasses held without hands
- **5** - Mask held by hands
- **6** - Mask with real glasses held by hands
- **7** - Mask with printed glasses held without hands
- **8** - Mask with printed and real glasses held without hands
- **9** - Mask with printed glasses held by hands
- **10** - Mask with printed and real glasses held by hands

![](https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F12421376%2Fe0809e4372f31481ccbdb8869bf03b09%2Fattack1.png?generation=1691564747323159&alt=media)

![](https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F12421376%2Fcb1da224833b3e3aee7cdb4cd55922b7%2Fattack2.png?generation=1691564762819477&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.

The dataset comprises videos of genuine facial presentations using various methods, including 2D masks and printed photos, as well as real and spoof faces. It proposes a novel approach that learns and extracts facial features to prevent spoofing attacks, based on deep neural networks and advanced biometric techniques. 

Our results show that this technology works effectively in securing most applications and prevents unauthorized access by distinguishing between genuine and spoofed inputs. Additionally, it addresses the challenging task of identifying unseen spoofing cues, making it one of the most effective techniques in the field of anti-spoofing research.

##  👉 Legally sourced datasets and carefully structured for AI training and model development. Explore samples from our dataset of 95,000+ human images & videos - [Full dataset](https://unidata.pro/datasets/2d-masks-attacks/?utm_source=huggingface-td&utm_medium=referral&utm_campaign=attacks-with-2d-printed-masks-of-indian-people)
# Content
### The folder **"attacks"** includes 10 folders:
- corresponding to each type of the video in the sample
- containing of 21 videos of people

### File with the extension .csv
- **type_1**: link to the real video without glasses, 
- **type_2**: link to the real video with glasses, 
- **type_3,... type_10**: links to the videos with different types of attacks, identified earlier

## 🧩 This is just an example of the data. Leave a request [here](https://unidata.pro/datasets/2d-masks-attacks/?utm_source=huggingface-td&utm_medium=referral&utm_campaign=attacks-with-2d-printed-masks-of-indian-people) to learn more

**🚀 You can learn more about our high-quality unique datasets [here](https://unidata.pro/datasets/2d-masks-attacks/?utm_source=huggingface-td&utm_medium=referral&utm_campaign=attacks-with-2d-printed-masks-of-indian-people)**

*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, phone attack dataset, face anti spoofing, large-scale face anti spoofing, rich annotations anti spoofing dataset, cut prints spoof attack*