
# 2D Masks Presentation Attack Detection

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.

### Types of videos in the dataset

- **real** - 4 videos of the person without a mask.
- **mask** - 4 videos of the person wearing a printed 2D mask.
- **cut** - 4 videos of the person wearing a printed 2D mask with cut-out holes for eyes.

![](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)

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.

![](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)

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.

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.

# Get the dataset

### This is just an example of the data

Leave a request on [**https://trainingdata.pro/data-market**](https://trainingdata.pro/data-market?utm_source=huggingface&utm_medium=cpc&utm_campaign=2d-masks-presentation-attack-detection) to discuss your requirements, learn about the price and buy the dataset.

# Content

### The folder **"files"** includes 17 folders

- corresponding to each person in the sample
- containing of 12 videos of the individual

### File with the extension .csv

- **user**: person in the videos,
- **real_1,... real_4**: links to the videos with people without mask,
- **mask_1,... mask_4**: links to the videos with 2D mask,
- **cut_1,... cut_4**: links to the videos with 2D mask with cut-out eyes

# Attacks might be collected in accordance with your requirements

## [**TrainingData**](https://trainingdata.pro/data-market?utm_source=huggingface&utm_medium=cpc&utm_campaign=2d-masks-presentation-attack-detection) provides high-quality data annotation tailored to your needs

More datasets in TrainingData's Kaggle account: **<https://www.kaggle.com/trainingdatapro/datasets>**

TrainingData's GitHub: **<https://github.com/Trainingdata-datamarket/TrainingData_All_datasets>**

task_categories:image-classification language:en license:cc-by-nc-nd-4.0 code region:us
{"language": ["en"], "license": "cc-by-nc-nd-4.0", "task_categories": ["image-classification"], "tags": ["code"], "dataset_info": {"features": [{"name": "user", "dtype": "string"}, {"name": "real_1", "dtype": "string"}, {"name": "real_2", "dtype": "string"}, {"name": "real_3", "dtype": "string"}, {"name": "real_4", "dtype": "string"}, {"name": "mask_1", "dtype": "string"}, {"name": "mask_2", "dtype": "string"}, {"name": "mask_3", "dtype": "string"}, {"name": "mask_4", "dtype": "string"}, {"name": "cut_1", "dtype": "string"}, {"name": "cut_2", "dtype": "string"}, {"name": "cut_3", "dtype": "string"}, {"name": "cut_4", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 4607, "num_examples": 17}], "download_size": 901061924, "dataset_size": 4607}}
TAGS
#task_categories-image-classification #language-English #license-cc-by-nc-nd-4.0 #code #region-us 


# 2D Masks Presentation Attack Detection

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.

### Types of videos in the dataset

- real - 4 videos of the person without a mask.
- mask - 4 videos of the person wearing a printed 2D mask.
- cut - 4 videos of the person wearing a printed 2D mask with cut-out holes for eyes.

![](URL

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.

![](URL

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.

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.

# Get the dataset

### This is just an example of the data

Leave a request on URL to discuss your requirements, learn about the price and buy the dataset.

# Content

### The folder "files" includes 17 folders

- corresponding to each person in the sample
- containing of 12 videos of the individual

### File with the extension .csv

- user: person in the videos,
- real_1,... real_4: links to the videos with people without mask,
- mask_1,... mask_4: links to the videos with 2D mask,
- cut_1,... cut_4: links to the videos with 2D mask with cut-out eyes

# Attacks might be collected in accordance with your requirements

## TrainingData provides high-quality data annotation tailored to your needs

More datasets in TrainingData's Kaggle account: <URL

TrainingData's GitHub: <URL

# 2D Masks Presentation Attack Detection

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. ### Types of videos in the dataset

- real - 4 videos of the person without a mask.
- mask - 4 videos of the person wearing a printed 2D mask.
- cut - 4 videos of the person wearing a printed 2D mask with cut-out holes for eyes.

![](URL

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.

![](URL

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.

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. # Get the dataset ### This is just an example of the data

Leave a request on URL to discuss your requirements, learn about the price and buy the dataset. # Content ### The folder "files" includes 17 folders

- corresponding to each person in the sample
- containing of 12 videos of the individual ### File with the extension .csv

- user: person in the videos,
- real_1,... real_4: links to the videos with people without mask,
- mask_1,... mask_4: links to the videos with 2D mask,
- cut_1,... cut_4: links to the videos with 2D mask with cut-out eyes # Attacks might be collected in accordance with your requirements ## TrainingData provides high-quality data annotation tailored to your needs

More datasets in TrainingData's Kaggle account: <URL

TrainingData's GitHub: <URL
TAGS
#task_categories-image-classification #language-English #license-cc-by-nc-nd-4.0 #code #region-us 
 # 2D Masks Presentation Attack Detection

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. ### Types of videos in the dataset

- real - 4 videos of the person without a mask.
- mask - 4 videos of the person wearing a printed 2D mask.
- cut - 4 videos of the person wearing a printed 2D mask with cut-out holes for eyes.

![](URL

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.

![](URL

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.

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. # Get the dataset ### This is just an example of the data

Leave a request on URL to discuss your requirements, learn about the price and buy the dataset. # Content ### The folder "files" includes 17 folders

- corresponding to each person in the sample
- containing of 12 videos of the individual ### File with the extension .csv

- user: person in the videos,
- real_1,... real_4: links to the videos with people without mask,
- mask_1,... mask_4: links to the videos with 2D mask,
- cut_1,... cut_4: links to the videos with 2D mask with cut-out eyes # Attacks might be collected in accordance with your requirements ## TrainingData provides high-quality data annotation tailored to your needs

More datasets in TrainingData's Kaggle account: <URL

TrainingData's GitHub: <URL