UniDataPro commited on
Commit
3d7dc1c
·
verified ·
1 Parent(s): 6f4e633

Update README.md

Browse files
Files changed (1) hide show
  1. README.md +3 -3
README.md CHANGED
@@ -15,14 +15,14 @@ size_categories:
15
  # 2D Masks with Eyeholes Attacks
16
  The dataset comprises **11,200+** videos of people wearing of holding 2D printed masks with eyeholes captured using **5** different devices. This extensive collection is designed for research in presentation attacks, focusing on various **detection methods**, primarily aimed at meeting the requirements for **iBeta Level 1 & 2 certification.** Specifically engineered to challenge **facial recognition** and enhance **spoofing detection** techniques.
17
 
18
- By utilizing this dataset, researchers and developers can advance their understanding and capabilities in **biometric security** and **liveness detection technologies**. - **[Get the data](https://unidata.pro/datasets/2d-masks/?utm_source=huggingface&utm_medium=cpc&utm_campaign=2d-masks-pad-attacks)**
19
  ## Attacks in the dataset
20
  ![](https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F22059654%2F589023f5a5202dd588e5d9df56747037%2FFrame%20166.png?generation=1731498279480466&alt=media)
21
  The attacks were recorded in various settings, showcasing individuals with different attributes. Each photograph features human faces adorned with 2D masks, simulating potential spoofing attempts in facial recognition systems.
22
 
23
  **Variants of backgrounds and attributes in the dataset**:
24
  ![](https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F22059654%2Fbf3ed70a8a519ebb4bbdd8fc634bd4f3%2FFrame%20146%20(2).png?generation=1730208154622175&alt=media)
25
- # 💵 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-masks/?utm_source=huggingface&utm_medium=cpc&utm_campaign=2d-masks-pad-attacks) to discuss your requirements and pricing options.
26
  Researchers can utilize this dataset to explore detection technology and recognition algorithms that aim to prevent impostor attacks and improve authentication processes.
27
  ## Metadata for the dataset
28
  ![](https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F22059654%2F599c49641aa40b28eef7684a086fb98b%2FFrame%20161%20(4).png?generation=1731498379460267&alt=media)
@@ -34,4 +34,4 @@ Researchers can utilize this dataset to explore detection technology and recogni
34
 
35
  The dataset provides a robust foundation for achieving higher detection accuracy and advancing liveness detection methods, which are essential for preventing identity fraud and ensuring reliable biometric verification.
36
 
37
- # 🌐 [UniData](https://unidata.pro/datasets/2d-masks/utm_source=huggingface&utm_medium=cpc&utm_campaign=2d-masks-pad-attacks) provides high-quality datasets, content moderation, data collection and annotation for your AI/ML projects
 
15
  # 2D Masks with Eyeholes Attacks
16
  The dataset comprises **11,200+** videos of people wearing of holding 2D printed masks with eyeholes captured using **5** different devices. This extensive collection is designed for research in presentation attacks, focusing on various **detection methods**, primarily aimed at meeting the requirements for **iBeta Level 1 & 2 certification.** Specifically engineered to challenge **facial recognition** and enhance **spoofing detection** techniques.
17
 
18
+ By utilizing this dataset, researchers and developers can advance their understanding and capabilities in **biometric security** and **liveness detection technologies**. - **[Get the data](https://unidata.pro/datasets/2d-masks/?utm_source=huggingface&utm_medium=referral&utm_campaign=2d-masks-pad-attacks)**
19
  ## Attacks in the dataset
20
  ![](https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F22059654%2F589023f5a5202dd588e5d9df56747037%2FFrame%20166.png?generation=1731498279480466&alt=media)
21
  The attacks were recorded in various settings, showcasing individuals with different attributes. Each photograph features human faces adorned with 2D masks, simulating potential spoofing attempts in facial recognition systems.
22
 
23
  **Variants of backgrounds and attributes in the dataset**:
24
  ![](https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F22059654%2Fbf3ed70a8a519ebb4bbdd8fc634bd4f3%2FFrame%20146%20(2).png?generation=1730208154622175&alt=media)
25
+ # 💵 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-masks/?utm_source=huggingface&utm_medium=referral&utm_campaign=2d-masks-pad-attacks) to discuss your requirements and pricing options.
26
  Researchers can utilize this dataset to explore detection technology and recognition algorithms that aim to prevent impostor attacks and improve authentication processes.
27
  ## Metadata for the dataset
28
  ![](https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F22059654%2F599c49641aa40b28eef7684a086fb98b%2FFrame%20161%20(4).png?generation=1731498379460267&alt=media)
 
34
 
35
  The dataset provides a robust foundation for achieving higher detection accuracy and advancing liveness detection methods, which are essential for preventing identity fraud and ensuring reliable biometric verification.
36
 
37
+ # 🌐 [UniData](https://unidata.pro/datasets/2d-masks/utm_source=huggingface&utm_medium=referral&utm_campaign=2d-masks-pad-attacks) provides high-quality datasets, content moderation, data collection and annotation for your AI/ML projects