---
license: cc-by-nc-nd-4.0
task_categories:
- image-segmentation
- image-classification
- image-to-image
- feature-extraction
- image-feature-extraction
language:
- en
tags:
- ibeta
- replay attack
- video
- liveness detection
- biometric
- anti-spoofing
dataset_info:
  features:
  - name: photo_1
    dtype: image
  - name: photo_2
    dtype: image
  - name: photo_3
    dtype: image
  - name: photo_4
    dtype: image
  - name: worker_id
    dtype: string
  - name: age
    dtype: int8
  - name: country
    dtype: string
  - name: sex
    dtype: string
  splits:
  - name: train
    num_bytes: 341007536
    num_examples: 10
  download_size: 100871449
  dataset_size: 341007536
size_categories:
- 10K<n<100K
---
# Face Mask Detection
Dataset includes 250 000 images, 4 types of mask worn on 28 000 unique faces. All images were collected using the Toloka.ai crowdsourcing service and validated by TrainingData.pro

# 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=face_masks)

# File with the extension .csv
includes the following information for each media file:

- **WorkerId**: the identifier of the person who provided the media file,
- **Country**: the country of origin of the person,
- **Age**: the age of the person,
- **Sex**: the gender of the person,
- **Type**: the type of media file
- **Link**: the URL to access the media file

# Folder "img" with media files
- containg all the photos
 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 4 lines of the .csv file.*

##  👉 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=face_masks)

#**🚀 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=face_masks)**

*keywords: facial mask detection, face masks detection, face masks classification, face masks recognition, covid-19, re-identification, public safety, health, automatic face mask detection, biometric system, biometric system attacks, biometric dataset, face recognition database, face recognition dataset, face detection dataset, facial analysis, object detection dataset, deep learning datasets, computer vision datset, human images dataset, human faces dataset*