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📁 Dataset

The dataset used was extended by adding more images (dataset in this repo is the original one).

The new dataset consists of 4,555 images belonging to two classes:

• with_mask : 2,607 images
• without_mask : 1,948 images

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🔑 Results

The accuracy of the model is 96.96% with the training set and 94.79% with the test set.

The overall accuracy of the model is ∼95%, as given in the classification report.

The accuracy was increased from 93% (a previous version from the original repo) to 95%,
while the loss was decreased (as apparent from the accuracy/training loss curve plot).

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