license: cc-by-nc-nd-4.0
task_categories:
- video-classification
language:
- en
tags:
- code
- finance
Silicone Masks Biometric Attacks
The dataset consists of videos of individuals and attacks with printed 2D masks and silicone masks . Videos are filmed in different lightning conditions (in a dark room, daylight, light room and nightlight). Dataset includes videos of people with different attributes (glasses, mask, hat, hood, wigs and mustaches for men).
Types of videos in the dataset:
- real - real video of the person
- outline -video of the person wearing a printed 2D mask
- silicone - video of the person wearing a silicone mask
Full version of the dataset includes 5792 videos
Types and number of videos in the full dataset:
- 2885 real videos of people
- 2859 videos of people wearing silicone mask
- 48 videos of people wearing a 2D mask.
Gender of people in the dataset:
- women: 2685
- men: 3107
The dataset serves as a valuable resource for computer vision, anti-spoofing tasks, video analysis, and security systems. It allows for the development of algorithms and models that can effectively detect attacks.
Studying the dataset may lead to the development of improved security systems, surveillance technologies, and solutions to mitigate the risks associated with masked individuals carrying out attacks.
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Content
- real - contains of real videos of people,
- mask - contains of videos with people wearing a printed 2D mask,
- silicone - contains of videos with people wearing a silicone mask,
- dataset_info.csvl - includes the information about videos in the dataset
File with the extension .csv
- video: link to the video,
- type: type of the video
Attacks might be collected in accordance with your requirements.
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