Datasets:
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---
license: cc-by-nc-nd-4.0
task_categories:
- video-classification
tags:
- anti-spoofing
- ibeta
- biometrics
- face_recognition
- pad
- authentication
- security
- fraud
size_categories:
- 10K<n<100K
---
# iBeta Level 1 Dataset: Facial Liveness Detection and Anti-Spoofing
The dataset consists of more than **28,800** video attacks of **7** different types specifically curated for a passing **iBeta Level 1** and getting a certification. It is compliant with the **ISO 30107-3** standard, which sets the highest quality requirements for biometric testing and attack detection.
By geting the **iBeta Level 1 certification**, biometric technology companies demonstrate their commitment to developing robust and reliable biometric systems that can effectively detect and prevent fraud -
**[Get the data](https://unidata.pro/datasets/ibeta-level-1-video-attacks/?utm_source=huggingface&utm_medium=cpc&utm_campaign=ibeta-level-1).**
## Attacks in the dataset
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This dataset is designed to evaluate the performance of face recognition and authentication systems in detecting presentation attacks, it includes different pad tests.
Each attack was filmed on an **Apple iPhone** and **Google Pixel**.
1. **2D Mask**: printed photos of people cut out along the contour
2. **Wrapped 2D Mask**: printed photos of people attached to a cylinder
3. **2D Mask with Eyeholes**: printed photos of people with holes for eyes
4. **3D Mask**: portraits consisting of several connected cardboard masks
5. **Smartphone Replay**: a person's photo demonstrated on a phone screen
6. **PC Replay**: a person's photo demonstrated on a computer screen
7. **Real Person**: real videos of people
# 💵 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/ibeta-level-1-video-attacks/?utm_source=huggingface&utm_medium=cpc&utm_campaign=ibeta-level-1) to discuss your requirements and pricing options.
## Metadata for the dataset
The iBeta Level 1 dataset is an essential tool for the biometrics industry, as it helps to ensure that biometric systems meet the highest standards of anti-spoofing technology. This dataset is used by various biometric companies in various applications and products to test and improve their *biometric authentication solutions, face recognition systems, and facial liveness detection methods.*
# 🌐 [UniData](https://unidata.pro/datasets/ibeta-level-1-video-attacks/?utm_source=huggingface&utm_medium=cpc&utm_campaign=ibeta-level-1) provides high-quality datasets, content moderation, data collection and annotation for your AI/ML projects |