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---
annotations_creators: []
language: en
license: other
size_categories:
- n<1K
task_categories:
- image-to-image
task_ids: []
pretty_name: Set5
tags:
- fiftyone
- image
- superresolution
dataset_summary: >
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 Card for Set5
<!-- Provide a quick summary of the dataset. -->
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)
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