Advanced MNIST Analyzer

What is this?

This is a project that allows for the analysis of consecutive MNIST images. It is a project that is able to decipher images containing 3 digits stacking on top of each other with a certain amount of noise. The project is able to detect the 3 digits and classify them accordingly.

How does it work?

The project features four different classification models that are able to classify the digits in the image. The models are:

• A simple CNN model
• A SVM classifier
• A Random Forest classifier
• A logistic regression classifier

How to run the project?

1. Clone the repository using the following command:

git clone https://github.com/Nguyen-HanhNong/Advanced-MNIST-Analyzer.git

2. Install python and pip if you haven't already. You can download python from the following link: https://www.python.org/downloads/

3. Install the necessary dependencies using the following command:

pip install -r requirements.txt

or manually install the following dependencies:

pip install numpy pandas matplotlib scikit-learn tensorflow

4. Run the project using the following command:

python main.py