Biometric Attack Dataset

The dataset is created on the basis of Anti Spoofing Real Dataset

We suggest you the dataset similar to CelebA Dataset but with photos of real people, additionally the dataset for face anti spoofing and face recognition includes not only images, but videos of the individuals!

The videos were gathered by capturing faces of genuine individuals presenting spoofs, using facial presentations. Our dataset proposes a novel approach that learns and detects spoofing techniques, extracting features from the genuine facial images to prevent the capturing of such information by fake users.

The dataset contains images and videos of real humans with various resolutions, views, and colors, making it a comprehensive resource for researchers working on anti-spoofing technologies.

People in the dataset

Types of files in the dataset:

photo - selfie of the person
video - real video of the person

Our dataset also explores the use of neural architectures, such as deep neural networks, to facilitate the identification of distinguishing patterns and textures in different regions of the face, increasing the accuracy and generalizability of the anti-spoofing models.

💴 For Commercial Usage: Full version of the dataset includes 98,000 files, leave a request on TrainingData to buy the dataset

Metadata for the full dataset:

assignment_id - unique identifier of the media file
worker_id - unique identifier of the person
age - age of the person
true_gender - gender of the person
country - country of the person
ethnicity - ethnicity of the person
video_extension - video extensions in the dataset
video_resolution - video resolution in the dataset
video_duration - video duration in the dataset
video_fps - frames per second for video in the dataset
photo_extension - photo extensions in the dataset
photo_resolution - photo resolution in the dataset

💴 Buy the Dataset: This is just an example of the data. Leave a request on https://trainingdata.pro/datasets to learn about the price and buy the dataset

Content

The dataset includes 2 folders:

video - real videos of the people,
photo - selfies of the same people from the previous folder

File with the extension .csv

id: id of the person,
photo: link to access the photo,
video: link to access the video

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

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