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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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- image-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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---
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# 2D Masks Presentation Attack Detection
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The dataset consists of videos of individuals wearing printed 2D masks or printed 2D masks with cut-out eyes and directly looking at the camera. Videos are filmed in different lightning conditions and in different places (*indoors, outdoors*). Each video in the dataset has an approximate duration of 2 seconds.
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### Types of videos in the dataset:
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- **real** - 4 videos of the person without a mask.
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- **mask** - 4 videos of the person wearing a printed 2D mask.
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- **cut** - 4 videos of the person wearing a printed 2D mask with cut-out holes for eyes.
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![](https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F12421376%2Fd29be8e22b3376efc1260f0a90f66d5c%2FMacBook%20Air%20-%201%20(2).png?generation=1690460078319549&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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![](https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F12421376%2Faa17e51fbcb74d5920dd0f5331f89668%2FMacBook%20Air%20-%201%20(3).png?generation=1690462300531653&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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Contact us via **[sales@trainingdata.pro](mailto:sales@trainingdata.pro)** or leave a request on **[https://trainingdata.pro/data-market](https://trainingdata.pro/data-market?utm_source=huggingface)** to discuss your requirements, learn about the price and buy the dataset
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# Content
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### The folder **"files"** includes 17 folders:
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- corresponding to each person in the sample
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- containing of 12 videos of the individual
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### File with the extension .csv
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- **user**: person in the videos,
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- **real_1,... real_4**: links to the videos with people without mask,
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- **mask_1,... mask_4**: links to the videos with 2D mask,
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- **cut_1,... cut_4**: links to the videos with 2D mask with cut-out eyes
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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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