Update README.md

README.md

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 ---
 license: cc-by-nc-nd-4.0
+task_categories:
+- video-classification
+- image-classification
+- image-to-video
+language:
+- en
+tags:
+- code
+- finance
+- legal
+- webdataset
 ---
+# Biometric Attack Dataset
+
+# The dataset is created on the basis of [Anti Spoofing Real Dataset](https://trainingdata.pro/data-market/anti-spoofing-real/?utm_source=huggingface&utm_medium=cpc&utm_campaign=celebA)
+
+We suggest you the dataset similar to CelebA Dataset but with photos of **real people**, additionally the dataset for face anti spoofing and face recognition includes not only images, but videos of the individuals!
+
+The videos were gathered by capturing faces of genuine individuals presenting spoofs, using facial presentations. Our dataset proposes a novel approach that learns and detects spoofing techniques, extracting features from the genuine facial images to prevent the capturing of such information by fake users. 
+
+The dataset contains images and videos of real humans with various **resolutions, views, and colors**, making it a comprehensive resource for researchers working on anti-spoofing technologies.
+
+### People in the dataset
+
+![](https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F12421376%2F91d376482cf33da8f06c1abb6930b376%2Fghmjnmjk.%20(1).png?generation=1707303383706326&alt=media)
+
+### Types of files in the dataset:
+- **photo** - selfie of the person 
+- **video** - real video of the person 
+
+Our dataset also explores the use of neural architectures, such as deep neural networks, to facilitate the identification of distinguishing patterns and textures in different regions of the face, increasing the accuracy and generalizability of the anti-spoofing models. 
+
+# 💴 For Commercial Usage: Full version of the dataset includes 140,000 files, leave a request on **[TrainingData](https://trainingdata.pro/data-market/anti-spoofing-real/?utm_source=huggingface&utm_medium=cpc&utm_campaign=celebA)** to buy the dataset
+
+### Metadata for the full dataset:
+- **assignment_id** - unique identifier of the media file
+- **worker_id** - unique identifier of the person
+- **age** - age of the person
+- **true_gender** - gender of the person
+- **country** - country of the person
+- **ethnicity** - ethnicity of the person
+- **video_extension** - video extensions in the dataset
+- **video_resolution** - video resolution in the dataset
+- **video_duration** - video duration in the dataset
+- **video_fps** - frames per second for video in the dataset
+- **photo_extension** - photo extensions in the dataset
+- **photo_resolution** - photo resolution in the dataset
+
+![](https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F12421376%2F77905aea23afb7f61167bc9ccd0d98cb%2F7-ezgif.com-optimize.gif?generation=1707303271936246&alt=media)
+
+# 💴 Buy the Dataset: This is just an example of the data. Leave a request on **[https://trainingdata.pro/data-market](https://trainingdata.pro/data-market/anti-spoofing-real/?utm_source=huggingface&utm_medium=cpc&utm_campaign=celebA) to learn about the price and buy the dataset**
+
+# Content
+The dataset includes 2 folders:
+- **video** - real videos of the people,
+- **photo** - selfies of the same people from the previous folder
+
+### File with the extension .csv
+- **id**: id of the person,
+- **photo**: link to access the photo,
+- **video**: link to access the video
+
+## **[TrainingData](https://trainingdata.pro/data-market/anti-spoofing-real/?utm_source=huggingface&utm_medium=cpc&utm_campaign=celebA)** 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: 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, ibeta dataset, face anti spoofing, large-scale face anti spoofing, rich annotations anti spoofing dataset*