Roboflow 100

mask wearing

Object Detection


mask wearing Computer Vision Project

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Explore Dataset

This dataset was originally created by Joseph Nelson and Brad Dwyer (and Cheng Hsun Teng from Eden Social Welfare Foundation). To see the current project, which may have been updated since this version, please go here:

This dataset is part of RF100, an Intel-sponsored initiative to create a new object detection benchmark for model generalizability.

Access the RF100 Github repo:

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.


This project has a YOLOv5 model checkpoint available for inference with Roboflow Deploy. YOLOv5 is a proven and tested, production ready, state-of-the-art real-time object detection model.

Cite this Project

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

@misc{ mask-wearing-608pr_dataset,
    title = { mask wearing Dataset },
    type = { Open Source Dataset },
    author = { Roboflow 100 },
    howpublished = { \url{ } },
    url = { },
    journal = { Roboflow Universe },
    publisher = { Roboflow },
    year = { 2023 },
    month = { may },
    note = { visited on 2023-12-02 },

Find utilities and guides to help you start using the mask wearing project in your project.


Roboflow 100

Last Updated

7 months ago

Project Type

Object Detection




mask, no-mask

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CC BY 4.0