Face Mask Detection using Deep Learning with Python

Face mask detection is a popular computer vision application that uses deep learning to identify whether individuals are wearing masks. Leveraging convolutional architectures, the process captures even the finest pixel details for precise detection. This video demonstrates a step-by-step approach to building a face mask detection system using TensorFlow, covering key steps such as importing dependencies, labeling images, resizing and saving them, and splitting the dataset into training and testing sets.

The process includes converting images to NumPy arrays, training a neural network, and building a predictive system for detecting face masks. The tutorial is ideal for exploring deep learning techniques and their real-world applications. 

For more details, please go through - FaceMask Detection using TensorFlow in Python