task_categories:video-classification language:en license:cc-by-nc-nd-4.0 code legal finance region:us
---
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

Leave a request on [**https://trainingdata.pro/data-market**](https://trainingdata.pro/data-market?utm_source=huggingface&utm_medium=cpc&utm_campaign=biometric-attacks-in-different-lighting-conditions) 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=huggingface&utm_medium=cpc&utm_campaign=biometric-attacks-in-different-lighting-conditions) 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**