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---
license: cc-by-nc-nd-4.0
task_categories:
- video-classification
tags:
- Machine learning
- Security
- Anti-spoofing
- Liveness Detection
- Biometric Verification
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**. — **[Get the data](https://unidata.pro/datasets/2d-printed-mask-and-replay-attack-videos-dataset/?utm_source=huggingface-biometrics&utm_medium=referral&utm_campaign=2D-mask-attack-dataset)**
## Dataset characteristics:
| Characteristic          | Data                                                                                             |
|-------------------------|--------------------------------------------------------------------------------------------------|
| Description             | Videos of individuals with printed masks and replay attacks                                      |
| Data types              | Video                                                                                            |
| Tasks                   | Anti-spoofing, Liveness Detection, Face Recognition                                              |
| Number of videos        | 26,436                                                                                           |
| Name of categories      | Video fakes, tolokers based spoofs, video zoom, youdo heads, in-car videos and fakes             |
| Labeling                | Metadata (age, gender, ethnicity)                                                                |
| Gender                  | Male, Female                                                                                     |

### 📊 Sample dataset available! For full access, [contact us](https://unidata.pro/datasets/2d-printed-mask-and-replay-attack-videos-dataset/?utm_source=huggingface-biometrics&utm_medium=referral&utm_campaign=2D-mask-attack-dataset) to discuss purchase terms.

## Dataset structure
- in_car_videos_and_fakes  —  Videos of crowdworkers' faces, captured inside cars, shown on phone screens.
- toloka_video_fakes — Videos of crowdworkers' faces displayed on computer or phone screens
- tolokers_based_spoofs — Videos of crowdworkers' faces displayed on computer or phone screens
- video_zoom — A zoom-based spoofing attack
- youdo_heads — Videos of cut-out color printouts of faces, collected via YouDo
- 2D Printed Mask Attacks and Replay Attacks Videos Dataset.csv — file contains metadata for all individuals in the dataset.

### 🧩 Like the dataset but need different data? We can collect a custom dataset just for you - learn more about our data collection services [here](https://unidata.pro/datasets/2d-printed-mask-and-replay-attack-videos-dataset/?utm_source=huggingface-biometrics&utm_medium=referral&utm_campaign=2D-mask-attack-dataset)

## Similar Datasets:
1. [iBeta Level 1 Dataset](https://unidata.pro/datasets/ibeta-level-1-video-attacks/?utm_source=huggingface-biometrics&utm_medium=referral&utm_campaign=2D-mask-attack-dataset)
2. [2D Print Attacks and Silicone Masks Attacks Dataset](https://unidata.pro/datasets/2d-print-attacks-and-silicone-masks-attacks-dataset/?utm_source=huggingface-biometrics&utm_medium=referral&utm_campaign=2D-mask-attack-dataset)
3. [2D Printed Photos Attacks and Replay Attacks Images Dataset](https://unidata.pro/datasets/2d-printed-photos-attacks-and-replay-attacks-images-dataset/?utm_source=huggingface-biometrics&utm_medium=referral&utm_campaign=2D-mask-attack-dataset)

## 🌐 [UniData](https://unidata.pro/datasets/2d-printed-mask-and-replay-attack-videos-dataset/?utm_source=huggingface-biometrics&utm_medium=referral&utm_campaign=2D-mask-attack-dataset) - your trusted data partner. Unique, accurate, thoroughly collected and annotated data designed to fuel your AI/ML success.