COMP 6721 APPLIED AI PROJECT-MASK DETECTION
Description:
-> Training Dataset
-> NoMask
-> N95
-> N95Valve
-> Surgical
-> Cloth
-> dataset.pickel (Contains Key value pairs)
-> Testing Dataset
-> random
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.
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
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.