Datasets:
metadata
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
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 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.
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