Industry standard Facemask detection with deep learning model!😊
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Updated
Jun 7, 2023 - Python
Industry standard Facemask detection with deep learning model!😊
Face Mask detection built using PyTorch specifically CNN having an accuracy of 98%.
Covid19 face mask detector using Deep Learning and Computer Vision techniques.
It can be used as a real-time surveillance system or integrated into existing security systems, such as CCTV. this AI can help reduce the spread of viruses and other airborne diseases by reminding people to wear masks in public areas and helping security personnel monitor compliance.
Training of a Deep Learning Neural Network for face mask detection using RGB and thermal photos.
Real-time face mask detection using Convolutional Neural Networks (CNN) is a computer vision system that employs deep learning techniques to identify whether a person is wearing a face mask or not in real-time live streams or video stream.
This face mask detector is accurate, and since we used the MobileNetV2 architecture, it’s also computationally efficient, making it easier to deploy the model to embedded systems.
Experiment: Object detection and streamlit app development for face masks
Realtime face mask detection using deep learning
Safe Distance and Face Mask Detection using Deep Learning
FaceMask'd is a face mask recognition web app built with p5.js, ml5.js and Django.
Face Mask Detection system based on deep learning using OpenCV and Tensorflow/Keras.
Mukh-O-Mukhosh (Bengali মুখ ও মুখোশ): A Convolutional Neural Network model for Face Mask Detection
Detecting face masks in image and video - Real-time detection
Mask Detection using Teachable Machine
Use this repository to download the trained #yolov4 model with mAP(Mean accuracy Precision) = 91% to detect for the face mask checks.
A convolutional neural network which identifies whether a person has a facemask or not.
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