metadata

license: cc-by-nc-nd-4.0
task_categories:
  - image-to-image
  - video-classification
language:
  - en
tags:
  - code

Anti-Spoofing dataset: live

The dataset consists of 40,000 videos and selfies with unique people. 15,000 attack replays from 4,000 unique devices.

File with the extension .csv

includes the following information for each media file:

phone: the device used to capture the media files,
selfie_link: the URL to access the photo
video_link: the URL to access the video
worker_id: the identifier of the person who provided the media file,
age: the age of the person,
country: the country of origin of the person,
gender: the gender of the person,
selfie_file_type: the type of the photo,
video_file_type: the type of the video

Folder "img" with media files

containg all the photos and videos
which correspond to the data in the .csv file

How it works: go to the first folder and you will make sure that it contains media files taken by a person whose parameters are specified in the first line of the .csv file.

In order to get access to more than 80,000 media files from 4,000 people or to learn more about our data, please contact our sales team by submitting a request on our website https://trainingdata.pro/data-market or emaling us at sales@trainingdata.pro

More datasets in TrainingData's Kaggle account: https://www.kaggle.com/trainingdatapro/datasets