Update README.md

README.md

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 ---
 license: cc-by-nc-nd-4.0
+task_categories:
+- video-classification
+language:
+- en
+tags:
+- code
+- legal
+- finance
 ---
+
+
+# Biometric Attacks in Different Lighting Conditions Dataset
+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. 
+
+### Types of videos in the dataset:
+- **darkroom_photo** - photo of a person in a **dark room** shown on a computer and filmed on the phone
+- **daylight_photo** - photo of a person in a **daylight** shown on a computer and filmed on the phone
+- **lightroom_photo** - photo of a person in a **light room** shown on a computer and filmed on the phone
+- **nightlight_photo** - photo of a person in a **night light** shown on a computer and filmed on the phone
+- **darkroom_video** - filmed in a **dark room**, on which a person moves his/her head left, right, up and down
+- **daylight_video** - filmed in a **daylight**, on which a person moves his/her head left, right, up and down
+- **lightroom_video** -  filmed in a **light room**, on which a person moves his/her head left, right, up and down
+- **nightlight_video** - filmed in a **night light**, on which a person moves his/her head left, right, up and down
+- **mask** -  video of the person wearing a **printed 2D mask**
+- **outline** - video of the person wearing a **printed 2D mask with cut-out holes for eyes**
+- **monitor_video** - video of a person played on a computer and filmed on the phone
+
+![](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)
+
+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.
+
+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.
+
+# Get the Dataset
+
+### This is just an example of the data
+
+Contact us via **[[email protected]](mailto:[email protected])** 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 
+
+# Content
+- **files** - contains of original videos and videos of attacks,
+-  **dataset_info.csvl** - includes the information about videos in the dataset
+
+### File with the extension .csv
+- **file**: link to the video,
+- **type**: type of the video
+
+# Attacks might be collected in accordance with your requirements.
+
+## **[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
+
+More datasets in TrainingData's Kaggle account: **https://www.kaggle.com/trainingdatapro/datasets**
+
+TrainingData's GitHub: **https://github.com/Trainingdata-datamarket/TrainingData_All_datasets**