Cat Dog Vision

CatDogVision is a project focused on recognizing images of dogs and cats using a neural network. This project was created for fun and educational purposes.

The goal of this project is to develop a deep learning model that can classify images as either "dog" or "cat" with high accuracy. It serves as a great opportunity to learn about neural networks and image classification.

Note: For relatively good results, it is recommended to train the model for around 100 epochs.

🔨 Requirements

Python 3.11 or lower (⚠️ Maximum)
Required Python libraries: Numpy, Tensorflow

😊 Getting Started

Clone this repository to your local machine.
Ensure you have Python 3.11 or lower installed.
Install the necessary dependencies by running the following command:

pip install -r requirements.txt - Install all required libraries.
python train.py - Train your model.
python test.py - Test your model.

You can now start working with the project.

💡 Usage

Make sure to have your dataset of dog and cat images in the "data/train" directory.
Customize the neural network model in the train.py file to suit your needs.
Train the model by running:
Once the model is trained, you can use it for image classification.

⭐ Contributing

Any suggestions for changes are welcome, if you would like to know what else we would like to do in this project here is a link to the todo list.

📜 Credits

This project is made possible with the help of the following libraries:

Numpy: https://numpy.org/
Tensorflow: https://www.tensorflow.org/

Feel free to explore and expand upon this project for your own learning and enjoyment!