https://maskwbflask.herokuapp.com/ Hi!, welcome to the repository. This is a fun project developed to get better insights on Computer Vision and Image Classification. We developed MobileNetV2 based model to identify if a person is wearing a mask or not. It is a simple web application developed with the help of Flask. The model is binary classification type model with classes respectively as With Mask or Without Mask
These instructions will get you a copy of the project up and running on your local machine for development and testing purposes. Before initializing with this project you must know the following concepts:Machine Learning - Classification Deep Learning - Neural Networks, CNN Networks, TensorFlow(TF2) Transfer Learning Computer Vision - OpenCV Library Web Application Development - Flask, Jinja Templates
If you want a custom dataset for your model follow these steps:-Download your dataset 1)Categorize your dataset in two folders named with_mask and without_mask 2)Put these two folders inside dataset folder inside project's home directory 3)Use this file to train your model
Execute app.py to start web application ![plot](https://user-images.githubusercontent.com/65003974/134794074-aa9bd4b2-2980-40ad-8caf-e14ae24f25b0.png)