TrainingDataPro
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README.md
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download_size: 156861504
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dataset_size: 2394
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### Types of videos in the dataset:
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- **real** - real video of the person
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![](https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F12421376%2Ff9be1f70a38085709c85716b212cdd11%2FFrame%2027.png?generation=1696329340111093&alt=media)
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## Full version of the dataset includes 5792 videos
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### Types and number of videos in the full dataset:
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- **2885** real videos of people
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- **2859** videos of people wearing silicone mask
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Studying the dataset may lead to the development of improved *security systems, surveillance technologies, and solutions to mitigate the risks associated with masked individuals carrying out attacks*.
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#
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### This is just an example of the data
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Leave a request on [**https://trainingdata.pro/data-market**](https://trainingdata.pro/data-market?utm_source=huggingface&utm_medium=cpc&utm_campaign=silicone-masks-biometric-attacks) to discuss your requirements, learn about the price and buy the dataset.
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# Content
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- **real** - contains of real videos of people,
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# Attacks might be collected in accordance with your requirements.
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## [TrainingData](https://trainingdata.pro/
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More datasets in TrainingData's Kaggle account: **https://www.kaggle.com/trainingdatapro/datasets**
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TrainingData's GitHub: **https://github.com/trainingdata-pro**
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download_size: 156861504
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dataset_size: 2394
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# Silicone Masks Biometric Attack Dataset
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The anti spoofing dataset consists of videos of individuals and attacks with printed 2D masks and silicone masks . Videos are filmed in different lightning conditions (*in a dark room, daylight, light room and nightlight*). Dataset includes videos of people with different attributes (*glasses, mask, hat, hood, wigs and mustaches for men*).
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The dataset comprises videos of genuine facial presentations using various methods, including 3D masks and photos, as well as real and spoof faces. It proposes a novel approach that learns and extracts facial features to prevent spoofing attacks, based on deep neural networks and advanced biometric techniques.
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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.
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# 💴 For Commercial Usage: Full version of the dataset includes 5792 videos, leave a request on **[TrainingData](https://trainingdata.pro/datasets/liveness-detection-for-ibeta-level-2?utm_source=huggingface&utm_medium=cpc&utm_campaign=silicone-masks-biometric-attacks)** to buy the dataset
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### Types of videos in the dataset:
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- **real** - real video of the person
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![](https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F12421376%2Ff9be1f70a38085709c85716b212cdd11%2FFrame%2027.png?generation=1696329340111093&alt=media)
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### Types and number of videos in the full dataset:
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- **2885** real videos of people
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- **2859** videos of people wearing silicone mask
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Studying the dataset may lead to the development of improved *security systems, surveillance technologies, and solutions to mitigate the risks associated with masked individuals carrying out attacks*.
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# 💴 Buy the Dataset: This is just an example of the data. Leave a request on **[https://trainingdata.pro/datasets](https://trainingdata.pro/datasets/liveness-detection-for-ibeta-level-2?utm_source=huggingface&utm_medium=cpc&utm_campaign=silicone-masks-biometric-attacks) to discuss your requirements, learn about the price and buy the dataset**
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# Content
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- **real** - contains of real videos of people,
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# Attacks might be collected in accordance with your requirements.
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## **[TrainingData](https://trainingdata.pro/datasets/liveness-detection-for-ibeta-level-2?utm_source=huggingface&utm_medium=cpc&utm_campaign=silicone-masks-biometric-attacks)** provides high-quality data annotation tailored to your needs
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More datasets in TrainingData's Kaggle account: **https://www.kaggle.com/trainingdatapro/datasets**
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TrainingData's GitHub: **https://github.com/trainingdata-pro**
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*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, silicone masks attacks, spoofing deep face recognition, phone attack dataset, face anti spoofing, large-scale face anti spoofing, rich annotations anti spoofing dataset*
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