license: cc-by-nc-nd-4.0
task_categories:
- image-to-image
- video-classification
language:
- en
tags:
- code
dataset_info:
features:
- name: phone
dtype: string
- name: selfie
dtype: image
- name: video
dtype: string
- name: worker_id
dtype: string
- name: age
dtype: int8
- name: country
dtype: string
- name: gender
dtype: string
splits:
- name: train
num_bytes: 100634313
num_examples: 30
download_size: 568013310
dataset_size: 100634313
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?utm_source=huggingface or emaling us at sales@trainingdata.pro
More datasets in TrainingData's Kaggle account: https://www.kaggle.com/trainingdatapro/datasets
TrainingData's GitHub: https://github.com/trainingdata-pro