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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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--- |
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# Low Quality Live Attacks |
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The dataset includes live-recorded Anti-Spoofing videos from around the world, captured via **low-quality** webcams with resolutions like QVGA, QQVGA and QCIF. |
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# Get the Dataset |
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This is just an example of the data. If you need access to the entire dataset, contact us via **[[email protected]](mailto:[email protected])** or leave a request on **[https://trainingdata.pro/data-market**](https://trainingdata.pro/data-market**) |
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![](https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F12421376%2F43bc66b1f16995fb42f10075db8f9ba5%2F4.png?generation=1684704084546644&alt=media) |
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# Webcam Resolution |
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The collection of different video resolutions is provided, like: |
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- QVGA (320p x 240p), |
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- QQVGA (120p x 160p), |
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- QCIF (176p x 144p) and others. |
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# Metadata |
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Each attack instance is accompanied by the following details: |
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- Unique attack identifier |
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- Identifier of the user recording the attack |
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- User's age |
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- User's gender |
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- User's country of origin |
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- Attack resolution |
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Additionally, the model of the webcam is also specified. |
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Metadata is represented in the `file_info.csv`. |
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## **[TrainingData](https://trainingdata.pro/data-market)** 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 |