|
|
--- |
|
|
license: cc-by-nc-nd-4.0 |
|
|
task_categories: |
|
|
- video-classification |
|
|
tags: |
|
|
- Computer Vision |
|
|
- Machine learning |
|
|
- Security |
|
|
- Anti-spoofing |
|
|
- Liveness Detection |
|
|
size_categories: |
|
|
- 10K<n<100K |
|
|
--- |
|
|
# 2D Mask Attack Dataset - 26 436 videos |
|
|
The dataset comprises **26,436** videos of real faces, **2D print attacks** (printed photos), and **replay attacks** (faces displayed on screens), captured under varied conditions. Designed for **attack detection** research, it supports the development of robust **face antispoofing** and **spoofing detection** methods, critical for **facial recognition security**. |
|
|
|
|
|
Ideal for training models and refining **anti-spoofing** methods, the dataset enhances **detection accuracy** in **biometric systems**. - **[Get the data](https://unidata.pro/datasets/2d-printed-mask-and-replay-attack-videos-dataset/?utm_source=huggingface&utm_medium=referral&utm_campaign=2d-printed-mask-dataset)** |
|
|
|
|
|
## Example of the data |
|
|
.png?generation=1755454141939894&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/2d-printed-mask-and-replay-attack-videos-dataset/?utm_source=huggingface&utm_medium=referral&utm_campaign=2d-printed-mask-dataset) to discuss your requirements and pricing options. |
|
|
|
|
|
Researchers can leverage this training data to improve detection accuracy, validate models trained on adversarial examples, and advance recognition systems against sophisticated masked attacks. |
|
|
|
|
|
## 🌐 [UniData](https://unidata.pro/datasets/2d-printed-mask-and-replay-attack-videos-dataset/?utm_source=huggingface&utm_medium=referral&utm_campaign=2d-printed-mask-dataset) provides high-quality datasets, content moderation, data collection and annotation for your AI/ML projects |
