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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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- code |
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- legal |
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- finance |
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--- |
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# Biometric Attacks in Different Lighting Conditions Dataset |
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The dataset consists of videos of individuals and attacks with photos shown in the monitor . Videos are filmed in different lightning conditions (*in a dark room, daylight, light room and nightlight*) and in different places (*indoors, outdoors*). Each video in the dataset has an approximate duration of 20 seconds. |
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### Types of videos in the dataset: |
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- **darkroom_photo** - photo of a person in a **dark room** shown on a computer and filmed on the phone |
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- **daylight_photo** - photo of a person in a **daylight** shown on a computer and filmed on the phone |
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- **lightroom_photo** - photo of a person in a **light room** shown on a computer and filmed on the phone |
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- **nightlight_photo** - photo of a person in a **night light** shown on a computer and filmed on the phone |
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- **darkroom_video** - filmed in a **dark room**, on which a person moves his/her head left, right, up and down |
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- **daylight_video** - filmed in a **daylight**, on which a person moves his/her head left, right, up and down |
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- **lightroom_video** - filmed in a **light room**, on which a person moves his/her head left, right, up and down |
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- **nightlight_video** - filmed in a **night light**, on which a person moves his/her head left, right, up and down |
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- **mask** - video of the person wearing a **printed 2D mask** |
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- **outline** - video of the person wearing a **printed 2D mask with cut-out holes for eyes** |
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- **monitor_video** - video of a person played on a computer and filmed on the phone |
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![](https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F12421376%2F5f1a0a11908deb6f62b6cb7c7b0d47ad%2FMacBook%20Air%20-%201%20(2).png?generation=1691658152306937&alt=media) |
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The dataset serves as a valuable resource for computer vision, anti-spoofing tasks, video analysis, and security systems. It allows for the development of algorithms and models that can effectively detect attacks. |
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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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# Get the Dataset |
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### This is just an example of the data |
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Contact us via **[sales@trainingdata.pro](mailto:sales@trainingdata.pro)** or leave a request on **[https://trainingdata.pro/data-market](https://trainingdata.pro/data-market?utm_source=huggingface)** to discuss your requirements, learn about the price and buy the dataset |
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# Content |
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- **files** - contains of original videos and videos of attacks, |
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- **dataset_info.csvl** - includes the information about videos in the dataset |
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### File with the extension .csv |
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- **file**: link to the video, |
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- **type**: type of the video |
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# Attacks might be collected in accordance with your requirements. |
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## **[TrainingData](https://trainingdata.pro/data-market?utm_source=kaggle)** provides high-quality data annotation tailored to your needs## **[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-datamarket/TrainingData_All_datasets** |