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              COMP 6721 APPLIED AI PROJECT-MASK DETECTION

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Description:

-> Training Dataset

	-> NoMask
	-> N95
	-> N95Valve
	-> Surgical
	-> Cloth
	-> dataset.pickel (Contains Key value pairs)

-> Testing Dataset

	-> random

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Procedure to execute the code:

- This project contains cells of codes. 
- All the imports are included at the beginning of the cell.
- Each cell can be executed using Shift + enter and corresponding outputs are shown at the bottom of the cell.
- We can also run all the code at once using Restart and Run all in Jupyter notebook and Run all option in Google colab.

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Note: There might be overfitting if we didnt restart the notebook. So it is highly recommended to restart the kernel when training the data everytime.

Files inside project:

- AI_Part1_Project_Team_AMW.ipynb 		- Python code of detection in Anaconda Jupyter Notebook format

- AI_Part1_Project_Team_Report - 1 		- AI_Part1_Report in PDF format 

- Expectations-of-Originality 			- Originality form Signed by all the team members

- face_mask_detection_CNN.pt 			- Trained Model File 

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Teammates: -> Manimaran Palani <40167543> -> William Moses Stalin Jebadoss <40186129> -> Ananya Varsha <40197012>

GitHub Link: https://github.com/manimayan/COMP6721_Applied_AI__Project_Team_AMW.git

Note: Repo is under private access modifier. So, if you want access kindly ping any of the collaborators.

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