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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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- legal
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- finance
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---
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# Presentation Attack Detection 2D Dataset
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The dataset consists of photos of individuals and videos of him/her wearing printed 2D mask with cut-out holes for eyes. 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 15-17 seconds.
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### Types of media files in the dataset:
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- **Photo** of the individual
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- **Video** with the printed photo of the individual, mask is cut along the contour, there are cut-out holes for eyes, mask is attached to the person's head
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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 **[[email protected]](mailto:[email protected])** 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 14 folders:
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- corresponding to each person in the sample
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- including photo and video of the individual
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### File with the extension .csv
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includes the following information for each media file:
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- **set_id**: the identifier of the set of media files,
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- **worker_id**: the identifier of the person who provided the media file,
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- **age**: the age of the person,
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- **gender**: the gender of the person,
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- **country**: the country of origin of the person
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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-datamarket/TrainingData_All_datasets**
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