ud-biometrics/2D-mask-attack-dataset

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

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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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Similar Datasets:

1. iBeta Level 1 Dataset
2. 2D Print Attacks and Silicone Masks Attacks Dataset
3. 2D Printed Photos Attacks and Replay Attacks Images Dataset

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