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README.md

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 # Face Mask Detection
 
-Deep Learning Framework that detects faces and predicts presence of masks.
+The project is about the development of an algorithm that could help in controlling the use of masks in public places by the analysis of video footage, photos, etc.
 
+## Acknowledgements
+
+The code constitutes an implementation of the approach proposed by [Joshi et al.](https://ieeexplore.ieee.org/abstract/document/9242625)
+
+## Framework
+
+### Face Detection
+
+The goal is to detect person faces from images taken in a wild environment. For this purpose [<b>MTCNN</b>](https://github.com/ipazc/mtcnn) was used: a Convolutional Neural Network that exploits multi-task learning to integrate face detection and face alignment.
+MTCNN was evaluated on [<i>Face Mask Dataset</i>](https://www.kaggle.com/datasets/aditya276/face-mask-dataset-yolo-format) that contains 924 images of people with and without mask (```FaceMaskDetection_main.ipynb```).
+
+| Recall | Precision | F1 |
+| ------ | --------- | -- |
+| 74.4%  |    82.8%  |78.4%|