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--- |
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license: cc-by-nc-nd-4.0 |
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task_categories: |
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- video-classification |
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language: |
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- en |
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tags: |
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- finance |
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- legal |
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- code |
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dataset_info: |
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features: |
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- name: 2d_mask |
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dtype: string |
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- name: live_selfie |
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dtype: image |
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- name: live_video |
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dtype: string |
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- name: phone_model |
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dtype: string |
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splits: |
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- name: train |
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num_bytes: 101123818 |
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num_examples: 9 |
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download_size: 328956415 |
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dataset_size: 101123818 |
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--- |
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# 2D Printed Masks Attacks |
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The dataset includes 3 different types of files of the real people: original selfies, original videos and videos of 2d printed masks attacks. The dataset solves tasks in the field of anti-spoofing and it is useful for buisness and safety systems. |
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# Get the Dataset |
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To order a dataset tailored to your needs, please write to us at the address: Andrew, [sales@trainingdata.pro](mailto:sales@trainingdata.pro) or leave a request on **https://trainingdata.pro/data-market?utm_source=huggingface** |
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# Content |
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### The dataset contains of three folders: |
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- **live_selfie** contains the original selfies of people |
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- **live_video** includes original videos of people |
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- **2d_masks** contains videos of attacks with the 2d printed mask using original images from "live_selfie" folder |
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### File with the extension .csv |
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includes the following information for each media file: |
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- **live_selfie**: the link to access the original selfie |
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- **live_video**: the link to access the original video |
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- **phone_model**: model of the phone, with which selfie and video were shot |
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- **2d_masks**: the link to access the video with the attack with the 2d printed mask |
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## **[TrainingData](https://trainingdata.pro/data-market?utm_source=huggingface)** 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** |
