Face Mask Detection with Deep Learning

Project Code : https://github.com/Pushpraj-Gour/Face-Mask-Detection/blob/main/Face_Mask_detection%20Main(Final).ipynb In this tutorial, we'll guide you through the creation of a Face Mask Detection model using TensorFlow and Keras. We'll start from scratch, showing you how to: Download and preprocess the dataset. Build and compile a Convolutional Neural Network (CNN) model. Train the model with our dataset. Evaluate the model's performance. Test the model with new images. This project uses the Face Mask Dataset from Kaggle, and we'll demonstrate every step in a Jupyter notebook. By the end of this video, you'll have a robust model capable of detecting whether a person is wearing a mask or not. Sections Covered: Dataset download and exploration Data preprocessing and augmentation CNN model architecture Model training and validation Performance evaluation Real-world testing Make sure to subscribe for more machine learning and deep learning tutorials! Links: Kaggle Dataset: Face Mask Dataset GitHub Repository: Link to code #FaceMaskDetection #DeepLearning #TensorFlow #Keras #MachineLearning #AI #COVID19