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README.md
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license: cc-by-nc-nd-4.0
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---
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---
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license: cc-by-nc-nd-4.0
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task_categories:
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- video-classification
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language:
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- en
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tags:
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- code
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- finance
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---
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# Silicone Masks Biometric Attacks
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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*).
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### Types of videos in the dataset:
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- **real** - real video of the person
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- **outline** -video of the person wearing a printed 2D mask
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- **silicone** - video of the person wearing a silicone mask
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## Full version of the dataset includes 5792 videos
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### Types and number of videos in the full dataset:
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- **2885** real videos of people
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- **2859** videos of people wearing silicone mask
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- **48** videos of people wearing a 2D mask.
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### Gender of people in the dataset:
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- women: **2685**
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- men: **3107**
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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.
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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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# Get the dataset
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### This is just an example of the data
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Leave a request on [**https://trainingdata.pro/data-market**](https://trainingdata.pro/data-market?utm_source=huggingface&utm_medium=cpc&utm_campaign=silicone-masks-biometric-attacks) to discuss your requirements, learn about the price and buy the dataset.
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# Content
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- **real** - contains of real videos of people,
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- **mask** - contains of videos with people wearing a printed 2D mask,
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- **silicone** - contains of videos with people wearing a silicone mask,
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- **dataset_info.csvl** - includes the information about videos in the dataset
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### File with the extension .csv
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- **video**: link to the video,
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- **type**: type of the video
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# Attacks might be collected in accordance with your requirements.
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## [TrainingData](https://trainingdata.pro/data-market?utm_source=huggingface&utm_medium=cpc&utm_campaign=silicone-masks-biometric-attacks) provides high-quality data annotation tailored to your needs
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More datasets in TrainingData's Kaggle account: **https://www.kaggle.com/trainingdatapro/datasets**
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TrainingData's GitHub: **https://github.com/trainingdata-pro**
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