airiuz/stanford_online_products

stanford_online_products

Stanford Online Products Dataset

Dataset size: 2.89 GiB

FeaturesDict({ 'class_id': ClassLabel(shape=(), dtype=int64, num_classes=22634),
'image': Image(shape=(None, None, 3), dtype=uint8),
'super_class_id': ClassLabel(shape=(), dtype=int64, num_classes=12), 'super_class_id/num': ClassLabel(shape=(), dtype=int64, num_classes=12),})

Clone recursively

git clone https://github.com/airiuz/stanford_online_products.git

Enter this file

cd stanford_online_products

Install Virtual environment

To use the this 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