Datasets:
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README.md
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language:
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- en
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# Printed Photos Attacks - liveness detection dataset
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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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# Content
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### The dataset contains of three folders:
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- **live_video**: the link to access the original video
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- **attack**: the link to access the video of attack with the printed photo
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**[TrainingData](https://trainingdata.pro/datasets/anti-spoofing-printed-photo?utm_source=huggingface&utm_medium=cpc&utm_campaign=printed_photos_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-datamarket/TrainingData_All_datasets**
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*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, 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*
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language:
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- en
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tags:
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- ibeta
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- liveness detection
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- biometric
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- anti-spoofing
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size_categories:
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- 10K<n<100K
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# Printed Photos Attacks - liveness detection dataset
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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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## 👉 Legally sourced datasets and carefully structured for AI training and model development. Explore samples from our dataset - [Full dataset](https://unidata.pro/datasets/ibeta-level-1-video-attacks/?utm_source=huggingface-td&utm_medium=referral&utm_campaign=printed_photos_attacks)
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# Content
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### The dataset contains of three folders:
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- **live_video**: the link to access the original video
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- **attack**: the link to access the video of attack with the printed photo
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## 🧩 This is just an example of the data. Leave a request [here](https://unidata.pro/datasets/ibeta-level-1-video-attacks/?utm_source=huggingface-td&utm_medium=referral&utm_campaign=printed_photos_attacks) to learn more
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**🚀 You can learn more about our high-quality unique datasets [here](https://unidata.pro/datasets/ibeta-level-1-video-attacks/?utm_source=huggingface-td&utm_medium=referral&utm_campaign=printed_photos_attacks)**
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*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, 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*
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