Cat And Dog Prediction

This project uses Transfer Learning to train a Model which classifies Cats and Dogs. The Cat and Dog Dataset from kaggle is used to train the model. The Two Models used in this projects are Resnet50 and MobilenetV2. Accuracy of Resnet50 Model is 96.63%. Accuracy of MobilenetV2 Model is 73.58%.

How to run?

You need python installed on your system. You can download and install it from here. After installing python, follow these steps:

On Windows:

• Open the cmd in the working dictionary.
• Type python -m venv venv to create a vitual environment.
• Type call venv\Scripts\activate.bat to activate the virtual environment.
• Type pip install -r requirements.txt to install all the required dependencies.
• Type jupyter-lab to run the jupyter-server.

On Mac OS/Linux:

• Open the terminal in the working dictionary.
• Type python3 -m venv venv to create a vitual environment.
• Type source ./venv/bin/activate to activate the virtual environment.
• Type pip3 install -r requirements.txt to install all the required dependencies.
• Type jupyter-lab to run the jupyter-server.

How to Predict?

Follow the First 4 steps from How to run? section. After that, use python predict.py [.../path/to/img] to predict the images.