Inspiration
My inspiration was to make a model that could help people know whether there are other people wearing a face mask to detect people not wearing a mask to assist people vurnable to any virus or diseases.
What it does
The AI Model classifies people who are wearing a mask or not. The input is a image with someone's face, and the AI will determine whether or not the person is wearing a mask.
How I built it
I wrote the model in Python with Tensorflow in a Jupyter Notebook
Challenges I ran into
The major challege was making a model that performed good results. At first, I produced a model with bad results. But as I researched and learned more, I was able to make a good model.
Accomplishments that I'm proud of
I am proud to have bulit a model with good accuracies and I am also proud that my model could be used in the real world.
What we learned
How to make Keras models with TensorFlow, navigation of Jupyter Notebooks, and Data Augmentation
What's next for Mask Object Detection
The next step for Mask Object Detection is to make a GUI based application that can help detect people who are wearing masks.
Built With
- jupyter
- python
- tensorflow
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