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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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- finance
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- legal
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- code
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---
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# Cut 2D Masks Presentation Attack Detection
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The dataset consists of videos of individuals wearing printed 2D masks with cut-out holes for eyes, noses and mouths. Videos are filmed in different lightning conditions and in different places (*indoors, outdoors*), a person moves his/her head left, right, up and down. Each video in the dataset has an approximate duration of 7 seconds.
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### Types of videos in the dataset:
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- **2d_mask** - videos of the person wearing a printed 2D mask with cut-out holes for eyes.
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- **cut_mask** - videos of the person wearing a printed 2D mask with cut-out holes for eyes, mouth and nose. All videos represent masks with holes for *eyes*, in some videos holes for both *mouth and nose* are made, in others only for *mouth or nose*.
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.png?generation=1690468363734380&alt=media)
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People in the dataset wear different accessorieses, such as *glasses, caps, scarfs, hats and masks*. Most of them are worn over a mask, however *glasses and masks* can be are also printed on the mask itself.
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.png?generation=1690468790515642&alt=media)
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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 perpetrated by individuals wearing printed 2D masks.
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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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If you need access to the entire dataset, contact us via **[[email protected]](mailto:[email protected])** or leave a request on **[https://trainingdata.pro/data-market](https://trainingdata.pro/data-market?utm_source=huggingface)**
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# Content
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### The dataset contains of two folders:
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- **2d_masks** contains videos of the person wearing a printed 2D mask with cut-out holes for eyes.
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- **cut_masks** includes videos of the person wearing a printed 2D mask with cut-out holes for eyes, mouth and nose.
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### File with the extension .csv
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- **link**: link to access the video,
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- **type**: type of the attack: *with printed 2D mask with cut-out holes for eyes* OR *with printed 2D mask with cut-out holes for eyes, mouth and nose*
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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)** 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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