The dataset consists of 1376 images, we have 690 face images with mask and 686 face images without mask. Due to the continous rise of covid cases all over the world, there are some rules to be followed by the people such as wearing a face mask and maintaining the social distancing. In order to keep that on floor, I have developed a model that detects whether a person is wearing a face mask or not. This model can be integrated with CCTV Cameras in public places such as hotels, restaurants, near traffic signals, temples, and other mob places that helps to bring complete awareness amidst this pandemic.
-
Notifications
You must be signed in to change notification settings - Fork 0
The objective of this project is to detect whether a person is wearing a mask or not. This model is developed using an image dataset, pre-trained frontal face haar cascade classifier, and convolutional neural networks.
Shriraj1996/Real-Time-Face-Mask-Detection-using-CNN-Model.
Folders and files
| Name | Name | Last commit message | Last commit date | |
|---|---|---|---|---|
Repository files navigation
About
The objective of this project is to detect whether a person is wearing a mask or not. This model is developed using an image dataset, pre-trained frontal face haar cascade classifier, and convolutional neural networks.
Topics
Resources
Stars
Watchers
Forks
Releases
No releases published
Packages 0
No packages published