Joseph Nelson

Mask Wearing

Object Detection


Mask Wearing Computer Vision Project

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Explore Dataset


The Mask Wearing dataset is an object detection dataset of individuals wearing various types of masks and those without masks. The images were originally collected by Cheng Hsun Teng from Eden Social Welfare Foundation, Taiwan and relabled by the Roboflow team.

Example image (some with masks, some without): Example Image

Use Cases

One could use this dataset to build a system for detecting if an individual is wearing a mask in a given photo.

Using this Dataset

Use the fork button to copy this dataset to your own Roboflow account and export it with new preprocessing settings (perhaps resized for your model's desired format or converted to grayscale), or additional augmentations to make your model generalize better.

About Roboflow

Roboflow makes managing, preprocessing, augmenting, and versioning datasets for computer vision seamless.

Developers reduce 50% of their code when using Roboflow's workflow, automate annotation quality assurance, save training time, and increase model reproducibility.

Roboflow Workmark

Trained Model API

This project has a trained model available that you can try in your browser and use to get predictions via our Hosted Inference API and other deployment methods.

Cite this Project

If you use this dataset in a research paper, please cite it using the following BibTeX:

@misc{ mask-wearing_dataset,
    title = { Mask Wearing Dataset },
    type = { Open Source Dataset },
    author = { Joseph Nelson },
    howpublished = { \url{ } },
    url = { },
    journal = { Roboflow Universe },
    publisher = { Roboflow },
    year = { 2022 },
    month = { nov },
    note = { visited on 2023-11-28 },

Find utilities and guides to help you start using the Mask Wearing project in your project.


Joseph Nelson


Joseph Nelson

Last Updated

a year ago

Project Type

Object Detection




mask, no-mask

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Public Domain