README.md

---
license: cc-by-nc-nd-4.0
task_categories:
- video-classification
tags:
- people
- mask
- computer vison
- facial recognition
- verification
- cyber security
size_categories:
- 1K<n<10K
---
# 3D Mask Attack for detection methods
Dataset comprises **3,500+** videos captured using **5** different devices, featuring individuals holding photo fixed on cylinder designed to simulate potential presentation attacks against **facial recognition** systems. It supports research in attack detection and improves **spoofing detection** techniques, specifically for fraud prevention and compliance with **iBeta Level 1 certification** standards.

By utilizing this dataset, researchers can enhance **liveness detection** and improve face presentation techniques, ultimately contributing to more robust **biometric security** measures.  - **[Get the data](https://unidata.pro/datasets/printed-3d-masks-attacks/?utm_source=huggingface&utm_medium=cpc&utm_campaign=3d-mask-attack)**
## Attacks in the dataset
![](https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F22059654%2F9285679c599b165bba3e5e37291175e4%2FFrame%20168.png?generation=1731895573047353&alt=media)
# 💵 Buy the Dataset: This is a limited preview of the data. To access the full dataset, please contact us at [https://unidata.pro](https://unidata.pro/datasets/printed-3d-masks-attacks/?utm_source=huggingface&utm_medium=cpc&utm_campaign=3d-masks-attacks) to discuss your requirements and pricing options.
Researchers can utilize this dataset to explore detection technology and recognition algorithms that aim to prevent impostor attacks and improve authentication processes.
## Metadata for the dataset
![](https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F22059654%2Faa4f1e847d71d64507b1009754d64464%2FFrame%20136.png?generation=1731895801179302&alt=media)
This dataset serves as a crucial tool for enhancing liveness detection technologies and developing effective anti-spoofing algorithms, which are essential for maintaining the integrity of biometric verification processes.
# 🌐 [UniData](https://unidata.pro/datasets/printed-3d-masks-attacks/?utm_source=huggingface&utm_medium=cpc&utm_campaign=3d-masks-attacks) provides high-quality datasets, content moderation, data collection and annotation for your AI/ML projects