FashionMNIST

Fashion-MNIST is a dataset of Zalando's article images—consisting of a training set of 60,000 examples and a test set of 10,000 examples. Each example is a 28x28 grayscale image, associated with a label from 10 classes. Zalando intends Fashion-MNIST to serve as a direct drop-in replacement for the original MNIST dataset for benchmarking machine learning algorithms. It shares the same image size and structure of training and testing splits.

Clone recursively

git clone https://github.com/yahyoxonqwe/FashionMNIST.git

Enter this file

cd FashionMNIST

Install Virtual environment

To use the FashionMNIST dataset, it is recommended to create a virtual environment in Python. You can do this by using the virtualenv package. First, install virtualenv using pip:

python -m pip install --user virtualenv

give a name this environment

python -m venv your_env

Activate this environment

your_env\Scripts\activate.bat

Install requirements

pip install -r requirement.txt

Open jupyter notebook

jupyter notebook

Run streamlit

streamlit run streamlit.py

Predict