Update README.md

README.md

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 ---
 license: cc-by-nc-nd-4.0
+task_categories:
+- video-classification
+- image-to-image
+- image-classification
+language:
+- en
 ---
+
+# Mobile Face Liveness Detection
+
+The dataset consists of videos featuring individuals wearing various types of masks. Videos are recorded under **different lighting conditions** and with **different attributes** (*glasses, masks, hats, hoods, wigs, and mustaches for men*).
+
+In the dataset, there are **4 types of videos** filmed on mobile devices:
+
+- **2D mask with holes for eyes** - demonstration of an attack with a paper/cardboard mask (*mask*)
+- **2D mask with holes for eyes, nose, and mouth** - demonstration of an attack with a paper/cardboard mask with cutouts for the nose and mouth (*mask_cut*)
+- **2D mask** - demonstration of an attack with a paper/cardboard silhouette (*outline*)
+- **Real Video** - demonstration of a real person's face (*real*)
+
+![](https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F12421376%2Fa987634cc73688e8bae895a22486ab0e%2FFrame%2058.png?generation=1700553110330831&alt=media)
+
+The dataset allows researchers and developers in recognizing and analyzing **facial expressions, anti-spoofing tasks, face detection, re-identification and face recognition tasks**. The inclusion of various attributes and different lighting conditions aims to enhance the **robustness and effectiveness** of anti-spoofing models in real-world scenarios.
+
+## Full version of the dataset includes 7,200+ videos of people, leave a request on **[TrainingData](https://trainingdata.pro/data-market/on-device-face-liveness-detection?utm_source=huggingface&utm_medium=cpc&utm_campaign=on-device-face-liveness-detection)** to buy the dataset
+
+### Statistics for the dataset (gender, type of the device, type of the attack):
+
+![](https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F12421376%2Fe34a79ae94a627cfd365581a2d0c8155%2FFrame%2059.png?generation=1700553456150931&alt=media)
+
+# 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/on-device-face-liveness-detection?utm_source=huggingface&utm_medium=cpc&utm_campaign=on-device-face-liveness-detection) to learn about the price and buy the dataset**
+
+# Content
+The folder **files** includes:
+- **mask** - includes videos of people wearing 2D mask with holes for eyes,
+- **mask_cut** - includes videos of people wearing 2D mask with holes for eyes, nose, and mouth,
+- **outline** - includes videos of people wearing 2D mask,
+- **real** - includes real videos of people
+
+### File with the extension .csv
+- **file**: link to access the file,
+- **type**: type of the video (*real, mask, outline, mask_cut*)
+
+## **[TrainingData](https://trainingdata.pro/data-market/on-device-face-liveness-detection?utm_source=huggingface&utm_medium=cpc&utm_campaign=on-device-face-liveness-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**
+
+*keywords: ibeta level 1, ibeta level 2, liveness detection systems, liveness detection dataset, biometric dataset, biometric data dataset, biometric system attacks, anti-spoofing dataset, face liveness detection, deep learning dataset, face spoofing database, face anti-spoofing, face recognition, face detection, face identification, human video dataset, video dataset, presentation attack detection, presentation attack dataset, 2d print attacks, print 2d attacks dataset, printed 2d masks dataset, spoofing in 2D face recognition, facial masks, 2D face recognition systems, detecting face spoofing attacks, detecting presentation attacks, computer vision, surveillance face anti-spoofing, face liveness detection software solution*