$ pip install -r requirements.txt

Change the version of torch and torchvision if necessary.

Start Jupyter Lab and run the notebook: detecting_spurious_correlations.ipynb

In this tutorial, we demonstrate the impact of training a model on a dataset with spurious correlations, focusing on a scenario where one class consists predominantly of dark images. We then compare the model's performance on a dataset free from such spurious correlations. Finally, the tutorial shows how these spurious correlation issues can be easily detected using Datalab.