---
license: cc-by-nd-4.0
task_categories:
- image-to-image
- video-classification
language:
- en
tags:
- ibeta
- liveness detection
- biometric
- anti-spoofing
size_categories:
- 10K<n<100K
---

# Printed Photos Attacks -  liveness detection dataset

The anti spoofing dataset comprises videos of genuine facial presentations using printed 2D 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 - [Full dataset](https://unidata.pro/datasets/ibeta-level-1-video-attacks/?utm_source=huggingface-td&utm_medium=referral&utm_campaign=printed_photos_attacks)

# Content
### The dataset contains of three folders:
- **live_selfie** contains the original selfies of people
- **live_video** includes original videos of people
- **attack** contains videos of attacks with printed photos with the original images from "live_selfie" folder

### File with the extension .csv
includes the following information for each media file:
- **live_selfie**: the link to access the original selfie
- **live_video**: the link to access the original video
- **attack**: the link to access the video of attack with the printed photo

## 🧩 This is just an example of the data. Leave a request [here](https://unidata.pro/datasets/ibeta-level-1-video-attacks/?utm_source=huggingface-td&utm_medium=referral&utm_campaign=printed_photos_attacks) to learn more

**🚀 You can learn more about our high-quality unique datasets [here](https://unidata.pro/datasets/ibeta-level-1-video-attacks/?utm_source=huggingface-td&utm_medium=referral&utm_campaign=printed_photos_attacks)**
*keywords: 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, 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*