Hey guys,
Today I wanna show my newest my project: the Mask-Detector. It is a pytorch based AI that detecs whether you wear a mask or not!
First step: search for data
The hardest problem was to find enough data. I used two Kaggle datasets which contain portraits of persons wearing a mask. So I downloaded them.
To have picture without masks, I used https://thispersondoesnotexist.com/. They create fictional faces with another AI (GAN).
The algorithm
Firstly all images were searched for faces whether they wear a mask or not. This does a neural network by opencv (pretrained). Then all found faces will be prepared and go through my own neural network (4 conv layers). Finally I should have a boolean which contains a True when someone wears a mask.
But where should someone use this toll?
In my home land (Germany), we have nowadays a law to wear our masks in shops and other public areas. But someones do not want a mask or just forget it. So a staff member for example has to convice them to wear a mask. This is super annoying why I got this idea.
To collect the data we need (the faces), we can use the builtin cameras in stores.
Results
On my test data I have got 97% correct classifications. This is brilliant!!
If you interested to try it, you can view my GitHub Repo (https://github.com/Christopher-06/Mask-Detector). There is also an instruction how to use it!
Do you have any questions? Just ask in the comments!
Thanks, Christopher
Congratulations @christopher2002! You have completed the following achievement on the Hive blockchain and have been rewarded with new badge(s) :
You can view your badges on your board and compare yourself to others in the Ranking
If you no longer want to receive notifications, reply to this comment with the word
STOPDo not miss the last post from @hivebuzz: