Deep Learning: masked face detection, recognition

Deep Learning of artificial intelligence(AI) is an exciting future technology with explosive growth.

Masked face recognition is a mesmerizing topic which contains several AI technologies including classifications, SSD object detection, MTCNN, FaceNet, data preparation, data cleaning, data augmentation, training skills, etc.

Nowadays, people are required to wear masks due to the COVID-19 pandemic.

The conventional FaceNet model barely recognizes faces without masks

Even the FaceID on iPhone or iPad devices only works without masks.

In this course, I will teach you how to train a model that works with masks.

In the final presentation, you will be able to perform the real time face detection, face mask detection, and face recognition, even with masks!

Windows is the operating system so you don't need to learn Linux first.

Having Python and Tensorflow knowledge are required.

In my tutorials, I would like to explain difficult theories and formulas by easy concepts or practical examples.

Model training always takes a lot of time.

Take this project as an example, it needs more than 400,000 images to train.

I will offer training skills to speed up the training process.

These training skills can be not only applied in face recognition but also in your future projects.

All lectures are spoken in plain English.

If you feel my speaking pace is quite slow, you can use the gear setting to speed up.

If you don't want to train the model by yourself, the source code and trained weight files are included!

Besides the training steps, this is also a highly integrated application.

Achievement from the topic, skills grow from the project. I hope you enjoy the fun of AI.