Live web-app

• https://image-classifier-using-cnn.herokuapp.com/

Dataset Source

• https://www.kaggle.com/puneet6060/intel-image-classification

Image-classifier-using-cnn

• This is my first project of Neural-Networks.
• In this I also used concept of Convolution2D layer and Maxpooling Layer to increase accuracy of my model.

Directory/file : Work

• static : hold 'css' and 'javascripts' files
• templates : hold 'HTML' and 'image' files
• upload : images uploaded from clients but it will automatically deleted to avoid storage issues
• app.py : flask file to start server
• CNN.ipynb : Implementaion file of CNN model
• model_best.h5 : model with 85% + Accuracy (Pre-trained)
• requirement.txt : External library name & versions

Requirements

• First run following command to download external library
• python3 -m pip install -r requirement.txt
• After completed go to Run part.

How to start Flask-Server

• Go to project directory then run following command
• python3 app.py
• go to link given in terminal during starting kernel

Reference_links

• https://towardsdatascience.com/a-comprehensive-guide-to-convolutional-neural-networks-the-eli5-way-3bd2b1164a53
• https://machinelearningmastery.com/pooling-layers-for-convolutional-neural-networks/

Thank You