Update README.md

README.md

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-license: cc-by-nc-nd-4.0
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+---
+license: cc-by-nc-nd-4.0
+task_categories:
+- image-classification
+tags:
+- Computer Vision
+- Machine learning
+- Security
+- Anti-spoofing
+- Liveness Detection
+size_categories:
+- 10K<n<100K
+---
+# 2D Mask Attack Dataset - 26 436 videos
+The dataset comprises **26,436** videos of real faces, **2D print attacks** (printed photos), and **replay attacks** (faces displayed on screens), captured under varied conditions. Designed for **attack detection** research, it supports the development of robust **face antispoofing** and **spoofing detection** methods, critical for **facial recognition security**.
+
+Ideal for training models and refining **anti-spoofing** methods, the dataset enhances **detection accuracy** in **biometric systems**. - **[Get the data](https://unidata.pro/datasets/2d-printed-mask-and-replay-attack-videos-dataset/?utm_source=huggingface&utm_medium=referral&utm_campaign=2d-printed-mask-dataset)**
+
+## Example of the data 
+![](https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F27063537%2F9c0b06aa82909632bd83a7048ac513ae%2FFrame%2052%20(2).png?generation=1755454141939894&alt=media)
+
+## 💵 Buy the Dataset: This is a limited preview of the data. To access the full dataset, please contact us at [https://unidata.pro](https://unidata.pro/datasets/2d-printed-mask-and-replay-attack-videos-dataset/?utm_source=huggingface&utm_medium=referral&utm_campaign=2d-printed-mask-dataset) to discuss your requirements and pricing options.
+
+Researchers can leverage this training data to improve detection accuracy, validate models trained on adversarial examples, and advance recognition systems against sophisticated masked attacks.
+
+## 🌐 [UniData](https://unidata.pro/datasets/2d-printed-mask-and-replay-attack-videos-dataset/?utm_source=huggingface&utm_medium=referral&utm_campaign=2d-printed-mask-dataset) provides high-quality datasets, content moderation, data collection and annotation for your AI/ML projects