This is a real-time DL model to classify if a person is wearing Mask or not First File is a traditional ConvNet Model Traditional Model got an accuracy of 96% on Validation set which of 20% of the total dataset The second file is a model based on Inception-V3 CNN trained on imagnet dataset With the help of Transfer Learning I achieved an accuracy of 97% Since imagnet dataset doesn't contain human picture. Transfer Learning wasn't so efficient Its a very well trained model which will show error even if someone dont put the mask properly
-
Notifications
You must be signed in to change notification settings - Fork 0
This is a real-time DL model to classify if person is wearing Mask or not
License
PrathameshDeshpande/Mask_Detector_Covid_19
This commit does not belong to any branch on this repository, and may belong to a fork outside of the repository.
Folders and files
Name | Name | Last commit message | Last commit date | |
---|---|---|---|---|
Repository files navigation
About
This is a real-time DL model to classify if person is wearing Mask or not
Resources
License
Stars
Watchers
Forks
Releases
No releases published
Packages 0
No packages published