Face Mask Detection using Deep Learning with Python

Face Mask Detection is picture processing and computer vision has become a well-known topic in recent years. Many novel calculations are being developed that employ convolution architectures to achieve the highest level of precision. These convolutional architectures have allowed even pixel subtleties to be extracted.

In this video, we are going to use deep learning with to detect Face masks on human faces.

Steps involved in this video: 1) Importing the dependencies 2) Creating labels for two classes of images 3) Understanding the image dataset 4) Resizing all images and saving these images in different folders 5) Resized images 6) Converting images to NumPy array 7) Train Test Split 8) Training images 9) Test images 10) Build the Neural Network 11) Build a Predictive System

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