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About Automatic Face Mask Detection Using Python
This document presents a study on automatic face mask detection using Python. The study aims to build a COVID-19 face mask detector using computer vision and deep learning techniques like OpenCV, TensorFlow and Keras. A dataset containing images with and without masks is used to train models like MobileNetV2 and R-CNN algorithms. The goal is to identify if a person in an image or video stream is wearing a face mask or not. A literature review discusses previous works on masked face detection using techniques like cascade frameworks and MobileNet with global pooling. The proposed model in this study uses deep transfer learning for feature extraction and combines it with classical machine learning algorithms to detect face masks in real-time streams.
Detailed Information
| Author: | ['Merajul islam'] |
|---|---|
| Publication Year: | 2022 |
| Pages: | 10 |
| Language: | English |
| Format: | |
| Price: | FREE |
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