license: cc-by-nd-4.0
task_categories:
- image-to-image
- video-classification
language:
- en
tags:
- code
- finance
Printed Photos Attacks - liveness detection dataset
The anti spoofing dataset comprises videos of genuine facial presentations using printed 2D photos, as well as real and spoof faces. It proposes a novel approach that learns and extracts facial features to prevent spoofing attacks, based on deep neural networks and advanced biometric techniques.
Our results show that this technology works effectively in securing most applications and prevents unauthorized access by distinguishing between genuine and spoofed inputs. Additionally, it addresses the challenging task of identifying unseen spoofing cues, making it one of the most effective techniques in the field of anti-spoofing research.
💴 For Commercial Usage: Full version of the dataset includes 4,700+ videos, leave a request on TrainingData to buy the dataset
Content
The dataset contains of three folders:
- live_selfie contains the original selfies of people
- live_video includes original videos of people
- attack contains videos of attacks with printed photos with the original images from "live_selfie" folder
File with the extension .csv
includes the following information for each media file:
- live_selfie: the link to access the original selfie
- live_video: the link to access the original video
- attack: the link to access the video of attack with the printed photo
💴 Buy the Dataset: This is just an example of the data. Leave a request on https://trainingdata.pro/datasets to discuss your requirements, learn about the price and buy the dataset
TrainingData 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
keywords: liveness detection systems, liveness detection dataset, biometric dataset, biometric data dataset, biometric system attacks, anti-spoofing dataset, face liveness detection, deep learning dataset, face spoofing database, face anti-spoofing, presentation attack detection, presentation attack dataset, 2d print attacks, print 2d attacks dataset, phone attack dataset, face anti spoofing, large-scale face anti spoofing, rich annotations anti spoofing dataset, cut prints spoof attack