Datasets:
File size: 3,138 Bytes
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---
license: cc-by-nc-nd-4.0
task_categories:
- video-classification
language:
- en
tags:
- ibeta
- replay attack
- video
- liveness detection
- biometric
- anti-spoofing
dataset_info:
features:
- name: file
dtype: string
- name: phone
dtype: string
- name: computer
dtype: string
- name: gender
dtype: string
- name: age
dtype: int16
- name: country
dtype: string
splits:
- name: train
num_bytes: 588
num_examples: 10
download_size: 342902185
dataset_size: 588
size_categories:
- 10K<n<100K
---
# Monitors Replay Attacks Dataset
The dataset consists of videos of replay attacks played on different models of computers. The dataset solves tasks in the field of anti-spoofing and it is useful for buisness and safety systems.
The dataset includes: **replay attacks** - videos of real people played on a computer and filmed on the phone.
# The dataset is created on the basis of [iBeta Level 1 Dataset](https://unidata.pro/datasets/ibeta-level-1-video-attacks/?utm_source=huggingface-td&utm_medium=referral&utm_campaign=monitors-replay-attacks-dataset)
# Content
The folder "attacks" includes videos of replay attacks
### Computer companies in the datset:
- Dell
- LG
- ASUS
- HP
- Redmi
- AOC
- Samsung
### File with the extension .csv
includes the following information for each media file:
- **file**: link to access the replay video,
- **phone**: the device used to capture the replay video,
- **computer**: the device used to play the video,
- **gender**: gender of a person in the video,
- **age**: age of the person in the video,
- **country**: country of the person
## 👉 Legally sourced datasets and carefully structured for AI training and model development. Explore samples from our dataset of 25,000+ human images & videos - [Full dataset](https://unidata.pro/datasets/ibeta-level-1-video-attacks/?utm_source=huggingface-td&utm_medium=referral&utm_campaign=monitors-replay-attacks-datasetg)
#**🚀 You can learn more about our high-quality unique datasets [here](https://unidata.pro/datasets/ibeta-level-1-video-attacks/?utm_source=huggingface-td&utm_medium=referral&utm_campaign=monitors-replay-attacks-dataset)**
*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, video replay attack, replay attack dataset, replay attack database, replay mobile dataset, video attack attempts, face spoofing database, face anti-spoofing, face recognition, face detection, face identification, human video dataset, video classification dataset, monitors, attacks classification, security of personal data, fraud detection, fraud recognition, large-scale face anti spoofing, rich annotations anti spoofing dataset, large-scale face anti spoofing, rich annotations anti spoofing dataset, display spoof attack* |