Roboflow Mask Wearing iOS Computer Vision Project
Updated 2 years ago
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Overview
The Roboflow Mask Wearing iOS
dataset is an object detection dataset of individuals wearing various types of masks and those without masks. A subset of the images were originally collected by Cheng Hsun Teng from Eden Social Welfare Foundation, Taiwan and relabled by the Roboflow team.
Example images (with masks, and without):
Use Cases
One could use this dataset to build a system for detecting if an individual is wearing a mask in a given photo. PPE detection in high-risk work settings, or general health safety settings are other good use cases.
The dataset has a few batches of images collected only from iPhone's, so as to help improve the performance of model predictions on iPhone's with the Roboflow Mobile iOS SDK.
Using this Dataset
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You can also import this dataset to your own Roboflow account and export it, or continue working on it on Roboflow to test, improve, and deploy your model.
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Cite This Project
If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
roboflow-mask-wearing-ios_dataset,
title = { Roboflow Mask Wearing iOS Dataset },
type = { Open Source Dataset },
author = { Mohamed Traore },
howpublished = { \url{ https://universe.roboflow.com/mohamed-traore-2ekkp/roboflow-mask-wearing-ios } },
url = { https://universe.roboflow.com/mohamed-traore-2ekkp/roboflow-mask-wearing-ios },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2022 },
month = { dec },
note = { visited on 2024-12-18 },
}