It is an Artificial Intelligence technology which is very popular now-a-days due to Covid-19 pandemic. It is being used in number of application and system software to detect human face digitally. It has many real world applications like Face ID, ID Verification and Face modification..Etc The F stands for Face and M stands for Mask , The face mask detection project , this project was made using the following libraries: 1.Tensorflow 2.Keras 3.MobileVnet2 4.Os 5.argparse 6.imutils 7.sklearn 8.SciPy

The mask detection code is build and trained which gave 99.65 % of accuracy,The tensorflow and keras are the main libraries used to train the model with datasets containing with masks and without masks images.The tensorflow and keras allows us to Data augmentation Loading the MobilNetV2 classifier (we will fine-tune this model with pre-trained ImageNet weights) Building a new fully-connected (FC) head Pre-processing Loading image data

We will use sklearn to binarizing class labels, segmenting our dataset, and printing a classification report. My imutils paths implementation will help us to find and list images in our dataset. And we’ll use matplotlib to plot our training curves. The argparser library helps me to input in the terminal with the commands. Extraction of data is done using kaggle. For training, testing and Building, refer to our blog on medium @DSC JNNCE. The contributors for this project are:

1. Ananya Kumar
2. Chethana Prabhu
3. Nidhishree M P
4. Shashank G S
5. Mayur Suresh
6. Abhishek J M and
7. Harshita Pengoria

Thank You!