Detecting issues in an image classification dataset (Caltech-256) with Datalab

This example uses cleanlab's Datalab class to audit an image dataset. Here we run Datalab with a Swin Transformer model trained for classification.

There are two notebooks:

train_image_classifier.ipynb - Trains a Swin Transformer classifier model on a subset of Caltech-256
- Install dependencies with:
```
pip install -r requirements-train.txt --extra-index-url https://download.pytorch.org/whl/cu116
```
datalab.ipynb - Audits the dataset using Datalab applied to outputs from the trained model.
- Install dependencies with
```
pip install -r requirements-datalab.txt
```