Images

2785 images

Explore Dataset

Intro

This Computer Vision repository contains images from several sources:

346 original images from https://universe.roboflow.com/features-dataset/incorrect-mask-outside-mosiac-clean
2439 original images from https://universe.roboflow.com/ditworkspace/face-mask-jk4nr

I've applied dataset augmentation with the following parameters, to better respond to different types of video feeds / security cameras and such:

Outputs per training example: 5
Grayscale: Apply to 10% of images
Blur: Up to 1.25px
Bounding Box: Noise: Up to 1% of pixels

I attempt to also have the model ready for B/W and grayscale security feeds, blur in case there are faces out of focus when trying to run inference in real time (not very high, only 1.25px), and 1% noise to adapt to live streams with a lower-than-average bitrate.

I've generated 5x images than the original dataset. In total, augmenting the data, I produced:

10.000+ images in the training dataset (94%)
478 images for validation (4%)
216 images for testing (2%)

I aim to expand this dataset with YouTube videos in the future and add these samples into the testing set, to show how well the model performs with real-life examples.

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{
                            public-mask-placement_dataset,
                            title = { Public Mask Placement Dataset },
                            type = { Open Source Dataset },
                            author = { jasperan },
                            howpublished = { \url{ https://universe.roboflow.com/jasperan/public-mask-placement } },
                            url = { https://universe.roboflow.com/jasperan/public-mask-placement },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { feb },
                            note = { visited on 2024-04-26 },
                            }