Datasets:

UniqueData
/

2d-masks-presentation-attack-detection

@@ -5,7 +5,10 @@ license: cc-by-nc-nd-4.0
 task_categories:
 - image-classification
 tags:
-- code
 dataset_info:
   features:
   - name: user
@@ -40,13 +43,14 @@ dataset_info:
     num_examples: 17
   download_size: 901061924
   dataset_size: 4607
 ---
 # 2D Masks Presentation Attack Detection - Biometric Attack dataset
 The anti spoofing 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  liveness detection dataset has an approximate duration of 2 seconds.
-# 💴 For Commercial Usage: Full version of the dataset includes 7251 videos, leave a request on **[TrainingData](https://trainingdata.pro/datasets/presentation-attack-detection?utm_source=huggingface&utm_medium=cpc&utm_campaign=2d-masks-presentation-attack-detection)** to buy the dataset
 ### 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.
@@ -64,8 +68,7 @@ The dataset comprises videos of genuine facial presentations using various metho
 Our results show that this technology works effectively in securing most applications and prevents unauthorized access by distinguishing between genuine and spoofed inputs. Additionally, it addresses the challenging task of identifying unseen spoofing cues, making it one of the most effective techniques in the field of anti-spoofing research.
-# 💴 Buy the Dataset: This is just an example of the data. Leave a request on **[https://trainingdata.pro/datasets](https://trainingdata.pro/datasets/presentation-attack-detection?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
@@ -79,10 +82,7 @@ Our results show that this technology works effectively in securing most applica
 # Attacks might be collected in accordance with your requirements.
-## **[TrainingData](https://trainingdata.pro/datasets/presentation-attack-detection?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>**
 *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, phone attack dataset, face anti spoofing, large-scale face anti spoofing, rich annotations anti spoofing dataset, cut prints spoof attack*

 task_categories:
 - image-classification
 tags:
+- ibeta
+- liveness detection
+- biometric
+- anti-spoofing
 dataset_info:
   features:
   - name: user
     num_examples: 17
   download_size: 901061924
   dataset_size: 4607
+size_categories:
+- 10K<n<100K
 ---
 # 2D Masks Presentation Attack Detection - Biometric Attack dataset
 The anti spoofing 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  liveness detection dataset has an approximate duration of 2 seconds.
+##  👉 Legally sourced datasets and carefully structured for AI training and model development. Explore samples from our dataset - [Full dataset](https://unidata.pro/datasets/2d-printed-mask-and-replay-attack-videos-dataset/?utm_source=huggingface-td&utm_medium=referral&utm_campaign=2d-masks-presentation-attack-detection)
 ### 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.
 Our results show that this technology works effectively in securing most applications and prevents unauthorized access by distinguishing between genuine and spoofed inputs. Additionally, it addresses the challenging task of identifying unseen spoofing cues, making it one of the most effective techniques in the field of anti-spoofing research.
+## 🧩 This is just an example of the data. Leave a request [here](https://unidata.pro/datasets/2d-printed-mask-and-replay-attack-videos-dataset/?utm_source=huggingface-td&utm_medium=referral&utm_campaign=2d-masks-presentation-attack-detection) to learn more
 # Content
 ### The folder **"files"** includes 17 folders:
 - corresponding to each person in the sample
 # Attacks might be collected in accordance with your requirements.
+**🚀 You can learn more about our high-quality unique datasets [here](https://unidata.pro/datasets/2d-printed-mask-and-replay-attack-videos-dataset/?utm_source=huggingface-td&utm_medium=referral&utm_campaign=2d-masks-presentation-attack-detection)**
 *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, phone attack dataset, face anti spoofing, large-scale face anti spoofing, rich annotations anti spoofing dataset, cut prints spoof attack*