CoolFace
Datasetpublic

UniqueData/anti-spoofing-real-waist-high-dataset

The dataset consists of waist-high selfies and video of real people. The dataset solves tasks in the field of anti-spoofing and it is useful for buisness and safety systems.

sourceHugging Facecc-by-nc-nd-4.0updated 1y agoView on Hugging Face
2likes70downloads
Dataset Card

Anti-Spoofing Real Waist-High Dataset

The dataset consists of waist-high selfies and video of real people. The dataset solves tasks in the field of anti-spoofing and it is useful for buisness and safety systems.

The dataset includes 2 different types of files:

  • —Photo - a selfie of a person from a mobile phone, the person is depicted alone on it, the face is clearly visible. Person is presented waist-high.
  • —Video - filmed on the front camera, on which a person moves his/her head left, right, up and down. Duration of the video is from 10 to 20 seconds.

💴 For Commercial Usage: To discuss your requirements, learn about the price and buy the dataset, leave a request on [our website](https://unidata.pro/datasets/face-anti-spoofing/?utm_source=huggingface-td&utm_medium=referral&utm_campaign=anti-spoofing-real-waist-high-dataset) to buy the dataset

Content

  • —The folder "photo" includes selfies of people
  • —The folder "video" includes videos of people

File with the extension .csv

includes the following information for each media file:

  • —photo: link to access the selfie,
  • —video: link to access the video,
  • —phone: the device used to capture selfie and video,
  • —gender: gender of a person,
  • —age: age of the person,
  • —country: country of the person

💴 Buy the Dataset: This is just an example of the data. Leave a request on the our website to discuss your requirements, learn about the price and buy the dataset

This is just an example of the data

Our Team provides high-quality data annotation tailored to your needs

keywords: ibeta level 1, ibeta level 2, 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, face detection, face identification, face recognition, human video dataset, video dataset, large-scale face anti spoofing, rich annotations anti spoofing dataset