Project 26: Face Mask Classification Using Deep Learning

Welcome to our deep learning tutorial on face mask classification! In this video, we'll guide you through the entire process of building a powerful deep learning model to classify images of people wearing masks and those who are not. Whether you're a beginner or an experienced machine learning enthusiast, this tutorial will provide you with valuable insights and hands-on experience.
In this video, you will learn:
1. Introduction to Face Mask Classification: Understand the importance and applications of face mask detection in the current global scenario.
2. Data Collection and Preparation: Learn how to collect and preprocess image datasets for training our deep learning model.
3. Building the Model: Step-by-step guide to constructing a convolutional neural network (CNN) using popular deep learning frameworks like TensorFlow and Keras.
4. Training and Evaluation: Train the model on the dataset and evaluate its performance using various metrics.
5. Deployment: Demonstration on how to deploy your trained model for face mask classification.
Resources:
- Dataset: www.kaggle.com/datasets/omkar...
- Code Repository: github.com/Chando0185/Multive...
Tools and Technologies Used:
- Python
- TensorFlow / Keras
- OpenCV
- Jupyter Notebook
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Thank you for watching! Feel free to leave any questions or suggestions in the comments below.
#DeepLearning #FaceMaskDetection #MachineLearning #AI #TensorFlow #Keras #Python #DataScience #OpenCV

[@lazyraconteur8279]

Thank you for this project. It would be great if you could also teach the theory part of the important topics from each project.

[@user-vg6ks2xt3v]

Bro ,you are doing very good job for us and but i have a request can you make a latest trend dataset and use the machine learning model

[@antukhan5592]

do streamlit web application

[@knowledgedoctor3849]

I Know, I don't have any strong fanbase that's why i got low view & also one of the underated youtuber, I will fight untill hit 100k Subscriber 🌻

[@swatiparekh]

We are with you and already subscribed. Will ask my friends to do same

[@mohammedusama5043]

There's an error for me while splitting the data into train and test