COVID-19 Face Mask Detector
- 0 Collaborators
The Face Mask Detector shows you weather a person is wearing mask or not My face mask detector didn't uses any morphed masked images dataset. The model is accurate, and since we used the MobileNetV2 architecture, it’s also efficient and thus making it easier to deploy the model . ...learn more
Project status: Under Development
Intel Technologies
Intel Python
Overview / Usage
This model is used to detect Face Mask which is useful for companies
During this pandemic situation.
My face mask detector didn't uses any morphed masked images dataset.
The model is accurate, and since we used the MobileNetV2 architecture,
it’s also efficient and thus making it easier to deploy the model
Model accuracy is 0.99
Methodology / Approach
I have created the dataset for this project and i have divided it into divided into two categories ie "img_mask" and "img_nomask" and stored into RESORCE folder.
I downloaded the images for both categories from internet and saved them in respective folder in the system.
Totally I have 4541 images beacuse we need to get highly accurate model..
img_mask = 2605
img_nomask = 1936
Then I created a model using CNN techniques and deployed my model using opnen cv2 and MobileNetv2
which is a convolutional neural network that is 53 layers deep.
Technologies Used
Intel Python
Keras 2.2.4 conda install keras=2.2.4
Tensorflow 1.15 conda install tensorflow-gpu=1.15 or conda install tensorflow
OpenCV-python
ImageDataGEnrator
NumPy
OS
MobileNetV2