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docs: update readme

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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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  ### 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-datamarket/TrainingData_All_datasets**
 
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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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  ### 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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+
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+ ### The folder **"files"** includes 17 folders
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+
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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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+
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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-datamarket/TrainingData_All_datasets>**