|
--- |
|
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 |
|
|
|
.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** |
