#### 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/Set5" target="_blank">![Hugging Face](https://img.shields.io/badge/%F0%9F%A4%97%20Hugging%20Face-Dataset-yellow)</a>

# Dataset Card for Set5

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

![image/png](https://huggingface.co/datasets/Voxel51/Set5/resolve/main/dataset_preview.gif)

This is a [FiftyOne](https://github.com/voxel51/fiftyone) dataset with 135 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/Set5")

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

## Dataset Details

### Dataset Description

The Set5 dataset is a dataset consisting of 5 images (“baby”, “bird”, “butterfly”, “head”, “woman”) commonly used for testing performance of Image Super-Resolution models.

- **Curated by:** Bevilacqua, Marco and Roumy, Antoine and Guillemot, Christine and Alberi-Morel, Marie-Line
- **Language(s) (NLP):** en
- **License:** other

### Dataset Sources

<!-- Provide the basic links for the dataset. -->
- **Repository:** https://github.com/ChaofWang/Awesome-Super-Resolution/blob/master/dataset.md
- **Paper:** [Low-Complexity Single-Image Super-Resolution based on Nonnegative Neighbor Embedding](https://people.rennes.inria.fr/Aline.Roumy/publi/12bmvc_Bevilacqua_lowComplexitySR.pdf)
- **Homepage:** https://people.rennes.inria.fr/Aline.Roumy/results/SR_BMVC12.html

## Uses

Super-resolution

## Dataset Creation

## Citation

<!-- If there is a paper or blog post introducing the dataset, the APA and Bibtex information for that should go in this section. -->

**BibTeX:**

```bibtex
@inproceedings{bevilacqua2012low,
  title={Low-Complexity Single-Image Super-Resolution based on Nonnegative Neighbor Embedding},
  author={Bevilacqua, Marco and Roumy, Antoine and Guillemot, Christine and Alberi-Morel, Marie-Line},
  booktitle={Proceedings of the British Machine Vision Conference (BMVC)},
  year={2012}
}
```

## Dataset Card Author

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