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README.md
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Our dataset also explores the use of neural architectures, such as deep neural networks, to facilitate the identification of distinguishing patterns and textures in different regions of the face, increasing the accuracy and generalizability of the anti-spoofing models.
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### Metadata for the full dataset:
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- **assignment_id** - unique identifier of the media file
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- **photo_extension** - photo extensions in the dataset
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- **photo_resolution** - photo resolution in the dataset
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# Content
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### The folder **"samples"** includes 30 folders:
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Our dataset also explores the use of neural architectures, such as deep neural networks, to facilitate the identification of distinguishing patterns and textures in different regions of the face, increasing the accuracy and generalizability of the anti-spoofing models.
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## 💴 For Commercial Usage: Full version of the dataset includes 50 000+ sets of files, leave a request **[here](https://unidata.pro/datasets/face-anti-spoofing/?utm_source=huggingface-td&utm_medium=referral&utm_campaign=anti-spoofing-real)** to buy the dataset
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### Metadata for the full dataset:
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- **assignment_id** - unique identifier of the media file
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- **photo_extension** - photo extensions in the dataset
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- **photo_resolution** - photo resolution in the dataset
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## 💴 Buy the Dataset: This is just an example of the data. Leave a request on **[the website](https://unidata.pro/datasets/face-anti-spoofing/?utm_source=huggingface-td&utm_medium=referral&utm_campaign=anti-spoofing-real)** to discuss your requirements, learn about the price and buy the dataset
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# Content
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### The folder **"samples"** includes 30 folders:
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