Face Mask detection | Image Processing | Deep Learning Project

In this video, we walk through the process of building a face mask detection system using TensorFlow and OpenCV. We start by importing a dataset of images containing people both wearing and not wearing masks from Kaggle. Then, we preprocess the images, create labels, and split the data into training and testing sets. Next, we construct a Convolutional Neural Network (CNN) using TensorFlow's Keras API, which will classify whether a person in an image is wearing a mask or not. We train the model on the training set and evaluate its performance on the testing set. Once the model is trained, we demonstrate how to use it for real-time predictions. We provide a user-friendly interface where users can input the path to an image, and the system will output whether the person in the image is wearing a mask or not. Finally, we discuss the implications and potential applications of face mask detection systems in various real-world scenarios, such as public health monitoring and safety enforcement. Stay tuned to learn how to implement this powerful technology in your projects! Don't forget to like, share, and subscribe for more AI and machine learning tutorials. to learn more about Neural Networks, please watch this video - https://youtu.be/IHVifZ7SIyI?si=shER2r3OH3Nq8zWK Find the kaggle dataset here - https://www.kaggle.com/datasets/omkargurav/face-mask-dataset Find the code working file - https://www.4shared.com/s/fx_mQzZ4Nfa #ai #machinelearning #FaceMaskDetection #tensorflow #opencv #deeplearning #computervision #kaggle #dataset #imageprocessing #convolutionalneuralnetworks #cnn #python #programming #datascience #artificialintelligence #MaskDetection #facialrecognition #datapreprocessing #modeltraining #modelevaluation #RealTimePrediction #safety #publichealth #technology #tutorial #tutorialvideo #youtubetutorial #learning #development