Hello, COVID 👋 😷
It is necessary to attribute the image received at the input to one of the classes — to determine the presence of a mask on the face or its absence.
The classifier will be considered successful if at least 90% of the variants are correctly classified.
An additional task was the work of the classifier in real time. In this case, detection and classification through the laptop camera.
| Accuracy |  |
| Loss |  |
| Precision |  |
| Recall |  |
| F-score |  |
