#### NOTE
This is a **Hugging Face dataset**. For large datasets, ensure `huggingface_hub>=1.1.3` to avoid rate limits. Learn more in the <a href="https://docs.voxel51.com/integrations/huggingface.html#loading-datasets-from-the-hub" target="_blank">Hugging Face integration docs</a>.

<a href="https://huggingface.co/datasets/Voxel51/SDXL-Dogs" target="_blank">![Hugging Face](https://img.shields.io/badge/%F0%9F%A4%97%20Hugging%20Face-Dataset-yellow)</a>

# Dataset Card for SDXL Dogs

<!-- Provide a quick summary of the dataset. -->

Images of dogs breeds in the Stanford Dogs dataset, generated by SDXL

![image/png](https://huggingface.co/datasets/Voxel51/SDXL-Dogs/resolve/main/dataset_preview.jpg)

This is a [FiftyOne](https://github.com/voxel51/fiftyone) dataset with 191 samples.

## Installation

If you haven’t already, install FiftyOne:

```bash
pip install -U fiftyone
```

## Usage

```python
import fiftyone as fo
import fiftyone.utils.huggingface as fouh

# Load the dataset
# Note: other available arguments include 'max_samples', etc
dataset = fouh.load_from_hub("Voxel51/SDXL-Dogs")

# Launch the App
session = fo.launch_app(dataset)
```

## Dataset Details

### Dataset Description

<!-- Provide a longer summary of what this dataset is. -->
- **Curated by:** [More Information Needed]
- **Funded by [optional]:** [More Information Needed]
- **Shared by [optional]:** [More Information Needed]
- **Language(s) (NLP):** en
- **License:** [More Information Needed]

## Dataset Creation

Data generated with SDXL for illustration of synthetic data generation for mitigating class imbalances

## Dataset Card Authors

[Jacob Marks](https://huggingface.co/jamarks)