This is an Artificial Intelligence Project created to detect whether a person is wearing a Mask or not, besides, using segmentation the model detect the borders of the mask. The model used for Mask Detection was the Resnet50 and for Mask Segmentation was Coco.
These models were trained using Google Colab due to their computational cost. For testing the models performance I used some random pictures and even pictures of myself. More info about the Code and the models performance in my Github Repository.
Mask Detection
Face Mask Detection Model uses Artificial Network to recognize if a user is not wearing a mask.
Mask Detected
No Mask Detected
Now Trying with a different environment and different illumination
Mask Detected
No Mask Detected
Mask Segmentation
Semantic Segmentation detects all the objects present in an image at the pixel level. Outputs regions with different classes or objects. Semantic segmentation groups pixels in a semantically meaningful way.
