Roboflow Mask Wearing iOS Computer Vision Project

Mohamed Traore

Updated 2 years ago

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Description

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): Example Image - With Mask

Example Image - Without Mask

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

Use the Download this Dataset button to download and import 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.

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.

About Roboflow

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Cite This Project

LICENSE
CC BY 4.0

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 },
                            }