Image-classifier-using-Python

By Aaditya Kaushik

It is an Image classifier project which can differentiate between images given to it.

It is an image classification project in which all you have to do is give it an image path. It has an accuracy of 87%. I have trained this model on images of my family members. I have also used the by wavelets library for dividing an image into regions of interest based on the similarity and harr cascades in OpenCv.

I have also done hyperparameter testing. After training the model I have it as a model. pl file. It can be used by running the manage.py file which provides a UI through which you can give the filepath to model and it will do its work. The web application is made of HTML and Django framework in Python. The UI is very simple. For using the model all you have to do is give the filepath with forward slashes.

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